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| {"qid": "12", "dataset": "monaco_dev", "question": "Which Latin American country has had the highest increase in life expectancy since 2000?", "gold_answers": ["Haiti"], "n_docs": 24, "n_structures": 24, "docs": [{"doc_id": "4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0", "is_supporting": true, "n_structures": 1, "contents": "List of Latin American countries by population\nList of Latin American countries by population >>> Table\n| Rank | Country (or dependent territory) | July 1, 2015 projection | % of pop. | Average relative annual growth (%) | Average absolute annual growth | Estimated doubling time (Years) | Official figure (where available) | Date of last figure | Source |\n|:---|:---|:---|---:|---:|:---|:---|:---|:---|:---|\n| 1 | Brazil | 204,519,000 | 33.13 | 0.86 | 1,750,000 | 81 | 212,457,615 | February 20, 2025 | Official population clock |\n| 2 | Mexico | 127,500,000 | 19.6 | 1.08 | 1,293,000 | 65 | 127,792,286 | July 1, 2020 | Official estimate |\n| 3 | Colombia | 48,218,000 | 7.81 | 1.16 | 555,000 | 60 | 53,343,000 | February 20, 2025 | Official population clock |\n| 4 | Argentina | 43,132,000 | 6.99 | 1.09 | 463,000 | 64 | 45,376,763 | July 1, 2020 | Official estimate |\n| 5 | Peru | 33,050,325 | 5.05 | 1.1 | 338,000 | 64 | 32,625,948 | July 1, 2020 | Official estimate |\n| 6 | Venezuela | 30,620,000 | 4.96 | 1.37 | 414,000 | 51 | 28,435,943 | 2020 | Official estimate |\n| 7 | Chile | 18,006,000 | 2.92 | 1.05 | 187,000 | 66 | 19,458,310 | 2020 | Official estimate |\n| 8 | Ecuador | 16,279,000 | 2.64 | 1.57 | 252,000 | 44 | 18,736,700 | February 20, 2025 | Official population clock |\n| 9 | Guatemala | 16,176,000 | 2.62 | 2.93 | 461,000 | 24 | 16,858,333 | July 1, 2020 | Official estimate |\n| 10 | Cuba | 11,252,000 | 1.82 | 0.25 | 28,000 | 278 | 11,193,470 | December 31, 2019 | Official estimate |\n| 11 | Haiti | 10,994,000 | 1.78 | 2.31 | 248,000 | 30 | 11,743,017 | 2020 | Official estimate |\n| 12 | Bolivia | 10,520,000 | 1.7 | 1.73 | 179,000 | 40 | 11,633,371 | 2020 | Official estimate |\n| 13 | Dominican Republic | 9,980,000 | 1.62 | 0.98 | 97,000 | 71 | 10,448,499 | 2020 | Official estimate |\n| 14 | Honduras | 8,950,000 | 1.45 | 2.29 | 200,000 | 31 | 9,304,380 | July 1, 2020 | Official estimate |\n| 15 | Paraguay | 7,003,000 | 1.13 | 1.58 | 109,000 | 44 | 7,252,672 | 2020 | Official estimate |\n| 16 | Nicaragua | 6,514,000 | 1.06 | 2.37 | 151,000 | 30 | 6,527,691 | June 30, 2019 | Official estimate |\n| 17 | El Salvador | 6,460,000 | 1.05 | 0.92 | 59,000 | 76 | 6,765,753 | 2020 | Official estimate |\n| 18 | Costa Rica | 4,851,000 | 0.79 | 1.63 | 78,000 | 43 | 5,111,238 | June 30, 2020 | Official estimate |\n| 19 | Panama | 3,764,000 | 0.61 | 1.37 | 51,000 | 51 | 4,278,500 | July 1, 2020 | Official estimate |\n| 20 | Puerto Rico (US) | 3,508,000 | 0.57 | -1.13 | -40,000 | - | 3,193,694 | July 1, 2019 | Official estimate |\n| 21 | Uruguay | 3,310,000 | 0.54 | 0.18 | 6,000 | 382 | 3,530,912 | June 30, 2020 | Official estimate |\n| β | Total | 617,311,000 | 100 | 1.13 | 6,885,000 | 62 | - |||", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0__latin_american_countries_by_population_2015.csv", "format": "csv", "content": "source_doc,rank,country_or_dependent_territory,july_1_2015_projection_int,percent_of_pop_float,average_relative_annual_growth_percent_float,average_absolute_annual_growth_int,estimated_doubling_time_years,official_figure,date_of_last_figure,source\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,1,Brazil,204519000,33.13,0.86,1750000,81,212457615,\"February 20, 2025\",Official population clock\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,2,Mexico,127500000,19.6,1.08,1293000,65,127792286,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,3,Colombia,48218000,7.81,1.16,555000,60,53343000,\"February 20, 2025\",Official population clock\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,4,Argentina,43132000,6.99,1.09,463000,64,45376763,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,5,Peru,33050325,5.05,1.1,338000,64,32625948,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,6,Venezuela,30620000,4.96,1.37,414000,51,28435943,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,7,Chile,18006000,2.92,1.05,187000,66,19458310,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,8,Ecuador,16279000,2.64,1.57,252000,44,18736700,\"February 20, 2025\",Official population clock\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,9,Guatemala,16176000,2.62,2.93,461000,24,16858333,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,10,Cuba,11252000,1.82,0.25,28000,278,11193470,\"December 31, 2019\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,11,Haiti,10994000,1.78,2.31,248000,30,11743017,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,12,Bolivia,10520000,1.7,1.73,179000,40,11633371,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,13,Dominican Republic,9980000,1.62,0.98,97000,71,10448499,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,14,Honduras,8950000,1.45,2.29,200000,31,9304380,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,15,Paraguay,7003000,1.13,1.58,109000,44,7252672,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,16,Nicaragua,6514000,1.06,2.37,151000,30,6527691,\"June 30, 2019\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,17,El Salvador,6460000,1.05,0.92,59000,76,6765753,2020,Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,18,Costa Rica,4851000,0.79,1.63,78000,43,5111238,\"June 30, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,19,Panama,3764000,0.61,1.37,51000,51,4278500,\"July 1, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,20,Puerto Rico (US),3508000,0.57,-1.13,-40000,-,3193694,\"July 1, 2019\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,21,Uruguay,3310000,0.54,0.18,6000,382,3530912,\"June 30, 2020\",Official estimate\n4jfT6NK1dy7wXJ4VUoRaJvhgxyzwX9ufpFGAkXFcRBMT2gFNmhQyAxtgEEZGHVxJ5eQi987NMYXE8xBwbDm9aKV7__1__table__0,β,Total,617311000,100,1.13,6885000,62,-,,\n"}]}, {"doc_id": "4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0", "is_supporting": true, "n_structures": 1, "contents": "Latin Americans\nLatin Americans >>> Demographics >>> Ethnic and racial groups\n# Racial distribution, in 2005 [ 18 ] \\- Population estimates, as of 2021 [ 1 ] [ 2 ]\n---\n| Country | Population | Amerindians | Whites | Mestizos | Mulattoes | Blacks | Zambos | Asians |\n|:---|:---|:---|:---|:---|:---|:---|:---|:---|\n| Argentina | 45,276,780 | 1.0% | 85.0% | 11.1% | 0.0% ||| 2.9% |\n| Bolivia | 12,079,472 | 55.0% | 15.0% | 28.0% | 2.0% | 0.0% |||\n| Brazil | 214,326,223 | 0.4% | 47.7% | 19.4% | 19.1% | 6.2% | 0.0% | 1.1% |\n| Chile | 19,493,184 | 3.0% | 53.0% | 44.0% | 0.0% ||||\n| Colombia | 51,516,562 | 1.8% | 20.0% | 53.2% | 21% | 3.9% | 0.1% | 0.0% |\n| Costa Rica | 5,153,957 | 0.8% | 82.0% | 15.0% | 0.0% || 2.0% | 0.2% |\n| Cuba | 11,256,372 | 0.0% | 62.0% | 0.0% | 27.6% | 11.0% | 0.0% | 1.0% |\n| Dominican Republic | 11,117,873 | 0.0% | 14.6% | 0.0% | 75.0% | 7.7% | 2.3% | 0.4% |\n| Ecuador | 17,797,737 | 39.0% | 9.9% | 41.0% | 5.0% || 0.0% | 0.1% |\n| El Salvador | 6,314,167 | 1.0% | 12.0% | 86.0% | 0.0% ||||\n| Guatemala | 17,608,483 | 50.9% | 6.9% | 41.0% | 0.0% || 0.2% | 0.8% |\n| Honduras | 10,278,345 | 7.7% | 1.9% | 85.1% | 1.6% | 0.0% | 3.9% | 0.7% |\n| Mexico | 126,705,138 | 14% | 15% | 70% | 0.5% | 0.0% || 0.5% |\n| Nicaragua | 6,850,540 | 5% | 17% | 69% | 6% | 3% | 0.6% | 0.2% |\n| Panama | 4,351,267 | 8.0% | 10.0% | 32.0% | 27.0% | 5.0% | 14.0% | 4.0% |\n| Paraguay | 6,703,799 | 1.5% | 3.5% | 90.5% | 3.5% | 0.0% || 0.5% |\n| Peru | 33,715,471 | 45.5% | 12.0% | 32.0% | 9.7% | 0.0% || 0.8% |\n| Puerto Rico[sn 1] | 3,285,874 | 0.5% | 17.1% | 2.3% | 10.5% | 7.0% | 0.0% | 0.1% |\n| Haiti | 11,447,569 | 0.0% | 9.0% | 0.0% | 5.0% | 86.0% | 0.0% | 1.0% |\n| Uruguay | 3,426,260 | 0.0% | 88.0% | 4.0% | 8.0% | 0.0% |||\n| Venezuela | 28,199,867 | 2.7% | 42.2% | 42.9% | 0.7% | 2.8% | 0.0% | 2.2% |\n| Total | 618,000,000 | 9.2% | 36.1% | 30.3% | 20.3% | 3.2% | 0.2% | 0.7% |", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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"source_doc,country,population_int,amerindians_pct,whites_pct,mestizos_pct,mulattoes_pct,blacks_pct,zambos_pct,asians_pct\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Argentina,45276780,1.0%,85.0%,11.1%,0.0%,,,2.9%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Bolivia,12079472,55.0%,15.0%,28.0%,2.0%,0.0%,,\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Brazil,214326223,0.4%,47.7%,19.4%,19.1%,6.2%,0.0%,1.1%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Chile,19493184,3.0%,53.0%,44.0%,0.0%,,, \n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Colombia,51516562,1.8%,20.0%,53.2%,21%,3.9%,0.1%,0.0%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Costa Rica,5153957,0.8%,82.0%,15.0%,0.0%,,2.0%,0.2%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Cuba,11256372,0.0%,62.0%,0.0%,27.6%,11.0%,0.0%,1.0%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Dominican Republic,11117873,0.0%,14.6%,0.0%,75.0%,7.7%,2.3%,0.4%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Ecuador,17797737,39.0%,9.9%,41.0%,5.0%,,0.0%,0.1%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,El Salvador,6314167,1.0%,12.0%,86.0%,0.0%,,, \n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Guatemala,17608483,50.9%,6.9%,41.0%,0.0%,,0.2%,0.8%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Honduras,10278345,7.7%,1.9%,85.1%,1.6%,0.0%,3.9%,0.7%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Mexico,126705138,14%,15%,70%,0.5%,0.0%,,0.5%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Nicaragua,6850540,5%,17%,69%,6%,3%,0.6%,0.2%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Panama,4351267,8.0%,10.0%,32.0%,27.0%,5.0%,14.0%,4.0%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Paraguay,6703799,1.5%,3.5%,90.5%,3.5%,0.0%,,0.5%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Peru,33715471,45.5%,12.0%,32.0%,9.7%,0.0%,,0.8%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Puerto Rico[sn 1],3285874,0.5%,17.1%,2.3%,10.5%,7.0%,0.0%,0.1%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Haiti,11447569,0.0%,9.0%,0.0%,5.0%,86.0%,0.0%,1.0%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Uruguay,3426260,0.0%,88.0%,4.0%,8.0%,0.0%,,\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Venezuela,28199867,2.7%,42.2%,42.9%,0.7%,2.8%,0.0%,2.2%\n4Ynn7pJ8knFQUZjWDuMUwDUtsbTvjkAXwerPbDMCH7oWvBpNdrwkUqD337mk7SM1jawMvp9yTrVJpo2PQZgPtWJ9__4__table__0,Total,618000000,9.2%,36.1%,30.3%,20.3%,3.2%,0.2%,0.7%\n"}]}, {"doc_id": "4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Mexico\n\n## Demographics of Mexico\nPopulation : 131,946,900 (2025 est.)\nDensity : 66.28/km2 (171.7/sq mi) (2024 est.)\nGrowth rate : 0.7% (2024 est.)\nBirth rate : 12.1 births/1,000 population (2023 est.)\nDeath rate : 6.2 deaths/1,000 population (2023 est.)\nLife expectancy : 74.6 years (2024 est.)\nβ’ male : 71.6 years (2024 est.)\nβ’ female : 77.7 years (2024 est.)\nFertility rate : 1.60 children born/woman (2023 est.)\nInfant mortality rate : 12.1 deaths/1,000 live births (2024 est.)\nNet migration rate : β0.70 migrant(s)/1,000 population (2024 est.)\n\n## Age structure\n0β14 years : 23.3% (male 15,647,805/ female 14,754,004) (2024 est.)\n15β64 years : 68.6% (male 43,651,105/ female 45,983,174) (2024 est.)\n65 and over : 8.2% (male 4,600,228/ female 6,103,611) (2024 est.)\n\n## Sex ratio\nTotal : 0.96 male(s)/female (2024 est.)\nAt birth : 1.05 male(s)/female\nUnder 15 : 1.06 male(s)/female\n15β64 years : 0.95 male(s)/female\n65 and over : 0.75 male(s)/female\n\n## Nationality\nNationality : Mexican\nMajor ethnic : * * Mestizos\nMinor ethnic :\n * * Whites \n * Spaniards\n * Arabs\n * Italians\n * Others\n * Indigenous \n * Nahuas\n * Yucatec Mayas\n * Tzeltal\n * Others\n * Blacks\n * East Asians \n * Chinese\n * Others\n * Other groups\n\n## Language\nOfficial : Spanish (99.4%) & 68 native languages\nSpoken : Languages of Mexico", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0__demographics_of_mexico_infobox_records.csv", "format": "csv", "content": "source_doc,record_type,category,sub_category,value,unit_or_detail,year_estimate\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Population,,131946900,people,2025\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Density,,66.28,/km2; 171.7/sq mi,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Growth rate,,0.7,percent,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Birth rate,,12.1,births/1000 population,2023\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Death rate,,6.2,deaths/1000 population,2023\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Life expectancy,total,74.6,years,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Life expectancy,male,71.6,years,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Life expectancy,female,77.7,years,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Fertility rate,,1.60,children born/woman,2023\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Infant mortality rate,,12.1,deaths/1000 live births,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,demographic_indicator,Net migration rate,,-0.70,migrants/1000 population,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,age_structure,0-14 years,,23.3%,\"male 15,647,805; female 14,754,004\",2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,age_structure,15-64 years,,68.6%,\"male 43,651,105; female 45,983,174\",2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,age_structure,65 and over,,8.2%,\"male 4,600,228; female 6,103,611\",2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,sex_ratio,Total,,0.96,males/female,2024\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,sex_ratio,At birth,,1.05,males/female,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,sex_ratio,Under 15,,1.06,males/female,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,sex_ratio,15-64 years,,0.95,males/female,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,sex_ratio,65 and over,,0.75,males/female,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,nationality,Nationality,,Mexican,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Major ethnic,Mestizos,Mestizos,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Minor ethnic,Whites,Spaniards; Arabs; Italians; Others,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Minor ethnic,Indigenous,Nahuas; Yucatec Mayas; Tzeltal; Others,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Minor ethnic,Blacks,Blacks,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Minor ethnic,East Asians,Chinese; Others,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,ethnic_group,Minor ethnic,Other groups,Other groups,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,language,Official,,Spanish,99.4%,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,language,Official,,68 native languages,,\n4cWGt2sKG2M4EW2DvKquGMqK4VYnz58BK4Jsm2uJmh9PhKRTHcKA3aBWgCbxVtRHUS79qQiHfSdNTAJaMyRm6yud__0__infobox__0,language,Spoken,,Languages of Mexico,,\n"}]}, {"doc_id": "43GPsRa2vetqnmph28jkZfApEX14nhU1DbVg32SqaeDrdMVrTDpWj1WBCzf1eh2mVv1XNCBVPG2h3DFuWnWqrUdC__8__table__0", "is_supporting": true, "n_structures": 2, "contents": "List of countries by life expectancy\nList of countries by life expectancy >>> CIA World Factbook (2022)\n# CIA World Factbook (2022). All, male, female, and sex gap.\n---\n| Country | All | M | F | Sex gap |\n|:---|---:|---:|---:|---:|\n| Monaco | 89.6 | 85.7 | 93.49 | 7.79 |\n| Singapore | 86.43 | 83.65 | 89.2 | 5.55 |\n| Macau | 85.06 | 82.09 | 88.02 | 5.93 |\n| Japan | 84.91 | 81.92 | 87.9 | 5.98 |\n| San Marino | 83.86 | 81.3 | 86.65 | 5.35 |\n| Canada | 83.8 | 81.52 | 86.21 | 4.69 |\n| Iceland | 83.64 | 81.41 | 85.97 | 4.56 |\n| Hong Kong | 83.61 | 80.91 | 86.46 | 5.55 |\n| Andorra | 83.42 | 81.2 | 85.79 | 4.59 |\n| Israel | 83.35 | 81.45 | 85.34 | 3.89 |\n| Guernsey | 83.23 | 80.52 | 86.07 | 5.55 |\n| Switzerland | 83.23 | 80.91 | 85.67 | 4.76 |\n| Malta | 83.2 | 81.11 | 85.38 | 4.27 |\n| Australia | 83.09 | 80.93 | 85.36 | 4.43 |\n| Luxembourg | 82.98 | 80.52 | 85.58 | 5.06 |\n| South Korea | 82.97 | 79.88 | 86.24 | 6.36 |\n| Sweden | 82.7 | 80.94 | 84.58 | 3.64 |\n| Jersey | 82.63 | 80.13 | 85.28 | 5.15 |\n| France | 82.59 | 79.53 | 85.79 | 6.26 |\n| Italy | 82.59 | 80.25 | 85.08 | 4.83 |\n| Liechtenstein | 82.56 | 80.33 | 85.38 | 5.05 |\n| Norway | 82.55 | 80.42 | 84.79 | 4.37 |\n| Spain | 82.55 | 79.84 | 85.4 | 5.56 |\n| New Zealand | 82.54 | 80.78 | 84.39 | 3.61 |\n| Austria | 82.27 | 79.64 | 85.04 | 5.4 |\n| Anguilla | 82.2 | 79.59 | 84.89 | 5.3 |\n| Netherlands | 82.16 | 79.93 | 84.49 | 4.56 |\n| Bermuda | 82.04 | 78.96 | 85.28 | 6.32 |\n| Cayman Islands | 82.04 | 79.35 | 84.79 | 5.44 |\n| Isle of Man | 82.04 | 80.23 | 84 | 3.77 |\n| United Kingdom | 81.94 | 79.95 | 84.04 | 4.09 |\n| Belgium | 81.86 | 79.25 | 84.59 | 5.34 |\n| Slovenia | 81.82 | 78.96 | 84.79 | 5.83 |\n| Finland | 81.76 | 78.86 | 84.79 | 5.93 |\n| Puerto Rico | 81.68 | 78.47 | 85.08 | 6.61 |\n| Denmark | 81.66 | 79.74 | 83.71 | 3.97 |\n| Ireland | 81.66 | 79.35 | 84.1 | 4.75 |\n| Germany | 81.51 | 79.15 | 84 | 4.85 |\n| Portugal | 81.5 | 78.37 | 84.79 | 6.42 |\n| Greece | 81.49 | 78.96 | 84.2 | 5.24 |\n| Saint Pierre and Miquelon | 81.41 | 79.05 | 83.9 | 4.85 |\n| Faroe Islands | 81.26 | 78.73 | 83.97 | 5.24 |\n| Taiwan | 81.16 | 78.17 | 84.34 | 6.17 |\n| Turks and Caicos Islands | 80.82 | 78.07 | 83.71 | 5.64 |\n| Wallis and Futuna | 80.67 | 77.68 | 83.81 | 6.13 |\n| Brunei | 80.59 | 78.36 | 82.79 | 4.43 |\n| Saint Barthelemy | 80.58 | 77.48 | 83.81 | 6.33 |\n| Saint Martin | 80.58 | 77.48 | 83.81 | 6.33 |\n| Saint Helena, Ascension and Tristan da Cunha | 80.48 | 77.58 | 83.51 | 5.93 |\n| Gibraltar | 80.42 | 77.58 | 83.41 | 5.83 |\n| Virgin Islands (US) | 80.27 | 77.08 | 83.65 | 6.57 |\n| Bahrain | 79.9 | 77.63 | 82.24 | 4.61 |\n| Qatar | 79.81 | 77.7 | 81.96 | 4.26 |\n| Chile | 79.79 | 76.8 | 82.92 | 6.12 |\n| Cyprus | 79.74 | 76.93 | 82.68 | 5.75 |\n| Czech Republic | 79.73 | 76.8 | 82.82 | 6.02 |\n| British Virgin Islands | 79.67 | 78.17 | 81.25 | 3.08 |\n| Costa Rica | 79.64 | 76.99 | 82.43 | 5.44 |\n| Cuba | 79.64 | 77.29 | 82.14 | 4.85 |\n| United Arab Emirates | 79.56 | 78.21 | 80.99 | 2.78 |\n| Albania | 79.47 | 76.8 | 82.33 | 5.53 |\n| Curacao | 79.42 | 77.09 | 81.87 | 4.78 |\n| Sint Maarten | 79.26 | 76.91 | 81.73 | 4.82 |\n| Kuwait | 79.13 | 77.67 | 80.65 | 2.98 |\n| Saint Lucia | 78.95 | 76.21 | 81.84 | 5.63 |\n| New Caledonia | 78.83 | 74.93 | 82.92 | 7.99 |\n| Lebanon | 78.76 | 77.36 | 80.23 | 2.87 |\n| Poland | 78.76 | 75.02 | 82.73 | 7.71 |\n| Barbados | 78.55 | 75.79 | 81.35 | 5.56 |\n| French Polynesia | 78.43 | 76.11 | 80.86 | 4.75 |\n| Uruguay | 78.43 | 75.32 | 81.64 | 6.32 |\n| United States | 78.38 | 76.01 | 80.86 | 4.85 |\n| Paraguay | 78.37 | 75.72 | 81.15 | 5.43 |\n| Argentina | 78.31 | 75.23 | 81.59 | 6.36 |\n| Slovakia | 78.31 | 74.83 | 82.04 | 7.21 |\n| Dominica | 78.21 | 75.25 | 81.31 | 6.06 |\n| Algeria | 78.03 | 76.57 | 79.57 | 3 |\n| Aruba | 78.01 | 74.93 | 81.15 | 6.22 |\n| Ecuador | 78 | 75.06 | 81.1 | 6.04 |\n| Sri Lanka | 78 | 74.57 | 81.56 | 6.99 |\n| Bosnia and Herzegovina | 77.98 | 75.02 | 81.15 | 6.13 |\n| Estonia | 77.88 | 73.25 | 82.73 | 9.48 |\n| Antigua and Barbuda | 77.8 | 75.63 | 80.08 | 4.45 |\n| Montenegro | 77.75 | 75.32 | 80.27 | 4.95 |\n| People's Republic of China | 77.72 | 75 | 80.7 | 5.7 |\n| Thailand | 77.66 | 74.65 | 80.83 | 6.18 |\n| Panama | 77.62 | 74.76 | 80.66 | 5.9 |\n| Tonga | 77.53 | 75.89 | 79.23 | 3.34 |\n| Georgia | 77.5 | 73.45 | 81.74 | 8.29 |\n| Guam | 77.5 | 75.07 | 80.08 | 5.01 |\n| Croatia | 77.22 | 74.1 | 80.53 | 6.43 |\n| Hungary | 77.2 | 73.55 | 81.06 | 7.51 |\n| Libya | 77.18 | 74.94 | 79.53 | 4.59 |\n| Cook Islands | 77.14 | 74.32 | 80.11 | 5.79 |\n| Saint Kitts and Nevis | 77.08 | 74.63 | 79.58 | 4.95 |\n| Maldives | 76.94 | 74.57 | 79.42 | 4.85 |\n| Oman | 76.9 | 74.96 | 78.93 | 3.97 |\n| North Macedonia | 76.84 | 74.73 | 79.08 | 4.35 |\n| Tunisia | 76.82 | 75.14 | 78.6 | 3.46 |\n| Solomon Islands | 76.7 | 74.05 | 79.49 | 5.44 |\n| Saint Vincent and the Grenadines | 76.68 | 74.63 | 78.79 | 4.16 |\n| Saudi Arabia | 76.65 | 75.07 | 78.32 | 3.25 |\n| Northern Mariana Islands | 76.58 | 74.48 | 79.03 | 4.55 |\n| West Bank | 76.38 | 74.29 | 78.6 | 4.31 |\n| Turkey | 76.21 | 73.84 | 78.7 | 4.86 |\n| Armenia | 76.13 | 72.86 | 79.68 | 6.82 |\n| The Bahamas | 76.13 | 73.2 | 79.14 | 5.94 |\n| Malaysia | 76.13 | 74.5 | 77.87 | 3.37 |\n| Seychelles | 76.1 | 71.67 | 80.66 | 8.99 |\n| Jordan | 76.01 | 74.51 | 77.6 | 3.09 |\n| Trinidad and Tobago | 75.94 | 74.02 | 77.93 | 3.91 |\n| Brazil | 75.92 | 72.5 | 79.5 | 7 |\n| Latvia | 75.91 | 71.47 | 80.56 | 9.09 |\n| Belize | 75.82 | 74.23 | 77.5 | 3.27 |\n| Lithuania | 75.78 | 70.42 | 81.44 | 11.02 |\n| Jamaica | 75.75 | 73.98 | 77.6 | 3.62 |\n| Romania | 75.75 | 72.3 | 79.4 | 6.2 |\n| Grenada | 75.74 | 73.13 | 78.6 | 5.47 |\n| Montserrat | 75.7 | 76.66 | 74.7 | 1.96 |\n| Bulgaria | 75.57 | 72.36 | 78.97 | 6.61 |\n| Vietnam | 75.52 | 72.95 | 78.37 | 5.42 |\n| Gaza Strip | 75.4 | 73.65 | 77.25 | 3.6 |\n| El Salvador | 75.37 | 71.88 | 79.04 | 7.16 |\n| American Samoa | 75.32 | 72.83 | 77.97 | 5.14 |\n| Uzbekistan | 75.29 | 72.27 | 78.5 | 6.23 |\n| Iran | 75.25 | 73.89 | 76.67 | 2.78 |\n| Samoa | 75.19 | 72.28 | 78.25 | 5.97 |\n| Honduras | 75.17 | 71.63 | 78.82 | 7.19 |\n| Vanuatu | 75.14 | 73.45 | 76.91 | 3.46 |\n| Colombia | 74.89 | 71.27 | 78.69 | 7.42 |\n| Mauritius | 74.86 | 72.04 | 77.88 | 5.84 |\n| Nicaragua | 74.78 | 72.56 | 77.11 | 4.55 |\n| Bangladesh | 74.7 | 72.52 | 76.96 | 4.44 |\n| Marshall Islands | 74.65 | 72.4 | 77.01 | 4.61 |\n| Palau | 74.64 | 71.48 | 78 | 6.52 |\n| Egypt | 74.45 | 73.26 | 75.72 | 2.46 |\n| Federated States of Micronesia | 74.44 | 72.34 | 76.66 | 4.32 |\n| Belarus | 74.28 | 68.9 | 79.97 | 11.07 |\n| Syria | 74.28 | 72.82 | 75.84 | 3.02 |\n| Fiji | 74.27 | 71.6 | 77.07 | 5.47 |\n| Serbia | 74.17 | 71.5 | 77 | 5.5 |\n| Azerbaijan | 74.15 | 71.08 | 77.41 | 6.33 |\n| Greenland | 73.98 | 71.28 | 76.82 | 5.54 |\n| Cabo Verde | 73.75 | 71.41 | 76.15 | 4.74 |\n| Morocco | 73.68 | 71.98 | 75.46 | 3.48 |\n| Ukraine | 73.45 | 68.8 | 78.39 | 9.59 |\n| Venezuela | 73.29 | 70.12 | 76.62 | 6.5 |\n| Iraq | 73.18 | 71.3 | 75.15 | 3.85 |\n| Indonesia | 73.08 | 70.86 | 75.4 | 4.54 |\n| Guatemala | 72.91 | 70.88 | 75.04 | 4.16 |\n| Dominican Republic | 72.56 | 70.86 | 74.33 | 3.47 |\n| Kazakhstan | 72.53 | 67.43 | 77.31 | 9.88 |\n| Bolivia | 72.5 | 71.04 | 74.02 | 2.98 |\n| Malawi | 72.44 | 69.33 | 75.59 | 6.26 |\n| Moldova | 72.44 | 68.6 | 76.52 | 7.92 |\n| Russia | 72.44 | 66.92 | 78.3 | 11.38 |\n| Suriname | 72.42 | 68.81 | 76.27 | 7.46 |\n| Nepal | 72.4 | 71.66 | 73.17 | 1.51 |\n| Kyrgyzstan | 72.35 | 68.27 | 76.71 | 8.44 |\n| Mexico | 72.32 | 68.93 | 75.88 | 6.95 |\n| Bhutan | 72.31 | 71.19 | 73.49 | 2.3 |\n| Guyana | 71.87 | 70.03 | 73.8 | 3.77 |\n| Turkmenistan | 71.83 | 68.8 | 75 | 6.2 |\n| North Korea | 71.77 | 67.88 | 75.88 | 8 |\n| Mongolia | 71.37 | 67.19 | 75.76 | 8.57 |\n| Togo | 71.36 | 68.76 | 74.03 | 5.27 |\n| Kosovo | 71.12 | 68.83 | 73.58 | 4.75 |\n| Cambodia | 70.65 | 68.79 | 72.59 | 3.8 |\n| Tanzania | 70.19 | 68.42 | 72.02 | 3.6 |\n| Philippines | 70.14 | 66.6 | 73.86 | 7.26 |\n| Senegal | 69.96 | 68.23 | 71.77 | 3.54 |\n| Burma | 69.92 | 68.27 | 71.67 | 3.4 |\n| Timor-Leste | 69.92 | 68.25 | 71.7 | 3.45 |\n| Gabon | 69.7 | 67.98 | 71.48 | 3.5 |\n| Kenya | 69.69 | 67.98 | 71.43 | 3.45 |\n| Pakistan | 69.67 | 67.62 | 71.82 | 4.2 |\n| Papua New Guinea | 69.43 | 67.76 | 71.19 | 3.43 |\n| Ghana | 69.37 | 67.7 | 71.09 | 3.39 |\n| Tajikistan | 69.36 | 66.2 | 72.69 | 6.49 |\n| Uganda | 68.96 | 66.71 | 71.27 | 4.56 |\n| Peru | 68.94 | 65.38 | 72.67 | 7.29 |\n| Tuvalu | 68.38 | 65.96 | 70.92 | 4.96 |\n| Ethiopia | 68.25 | 66.12 | 70.44 | 4.32 |\n| Madagascar | 68.17 | 66.8 | 69.57 | 2.77 |\n| Laos | 68.15 | 66.49 | 69.88 | 3.39 |\n| Nauru | 67.93 | 64.38 | 71.62 | 7.24 |\n| Kiribati | 67.9 | 65.3 | 70.64 | 5.34 |\n| The Gambia | 67.6 | 65.83 | 69.41 | 3.58 |\n| Yemen | 67.51 | 65.19 | 69.94 | 4.75 |\n| Burundi | 67.42 | 65.32 | 69.59 | 4.27 |\n| India | 67.22 | 65.46 | 69.16 | 3.7 |\n| Comoros | 67.2 | 64.93 | 69.54 | 4.61 |\n| Sudan | 67.12 | 64.89 | 69.46 | 4.57 |\n| SΓ£o TomΓ© and PrΓncipe | 67.06 | 65.44 | 68.72 | 3.28 |\n| Eritrea | 66.85 | 64.25 | 69.53 | 5.28 |\n| Namibia | 66.47 | 64.46 | 68.53 | 4.07 |\n| Zambia | 66.26 | 64.52 | 68.06 | 3.54 |\n| Haiti | 65.95 | 63.26 | 68.67 | 5.41 |\n| Rwanda | 65.85 | 63.89 | 67.86 | 3.97 |\n| Botswana | 65.64 | 63.6 | 67.74 | 4.14 |\n| Liberia | 65.45 | 63.19 | 67.78 | 4.59 |\n| South Africa | 65.32 | 63.99 | 66.68 | 2.69 |\n| Djibouti | 65.3 | 62.72 | 67.96 | 5.24 |\n| Mauritania | 65.22 | 62.77 | 67.75 | 4.98 |\n| Guinea | 63.9 | 62.04 | 65.82 | 3.74 |\n| Equatorial Guinea | 63.7 | 61.44 | 66.03 | 4.59 |\n| Guinea-Bissau | 63.68 | 61.45 | 65.99 | 4.54 |\n| Burkina Faso | 63.44 | 61.63 | 65.31 | 3.68 |\n| Zimbabwe | 63.32 | 61.18 | 65.52 | 4.34 |\n| Cameroon | 63.27 | 61.49 | 65.09 | 3.6 |\n| Mali | 62.41 | 60.19 | 64.7 | 4.51 |\n| CΓ΄te d'Ivoire | 62.26 | 60.07 | 64.52 | 4.45 |\n| Benin | 62.21 | 60.39 | 64.14 | 3.75 |\n| Angola | 62.11 | 60.05 | 64.24 | 4.19 |\n| Republic of the Congo | 62.1 | 60.65 | 63.61 | 2.96 |\n| Democratic Republic of the Congo | 61.83 | 60.03 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table reports all, male, female, and sex gap life expectancy.\",\"source_doc\":\"43GPsRa2vetqnmph28jkZfApEX14nhU1DbVg32SqaeDrdMVrTDpWj1WBCzf1eh2mVv1XNCBVPG2h3DFuWnWqrUdC__8__table__0\"}\n"}]}, {"doc_id": "3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Argentina\n\n## Demographics of Argentina\nPopulation : 46,044,703 (2022 census)\nDensity : 16.56046/km2\nGrowth rate : 0.2% (2023 est.)\nBirth rate : 10.7 births/1,000 population (2022)\nDeath rate : 8.6 deaths/1,000 population (2022)\nLife expectancy : 78.55 years\nβ’ male : 75.49 years\nβ’ female : 81.81 years (2023 est.)\nFertility rate : 1.36 children born/woman (2022)\nInfant mortality rate : 8.4 deaths/1,000 live births (2022)\nNet migration rate : -0.08 migrant(s)/1,000 population (2023 est.)\n\n## Age structure\n0β14 years : 22.0% (male 5,645,070/female 5,316,156)\n15β64 years : 66.1% (male 14,929,084/female 14,827,733)\n65 and over : 11.9% (male 2,511,984/female 3,391,820) (2022 census)\n\n## Sex ratio\nTotal : 0.98 male(s)/female (2023 est.)\nAt birth : 1.07 male(s)/female\nUnder 15 : 1.06 male(s)/female\n15β64 years : 1.01 male(s)/female\n65 and over : 0.74 male(s)/female\n\n## Nationality\nNationality : Argentine\nMajor ethnic :\n * * White (N/D) \n * European (N/D) \n * Italian (N/D)\n * Spanish (N/D)\n * French (N/D)\n * German (N/D)\n * Other (N/D)\n * Arab (N/D) \n * Lebanese (N/D)\n * Syrian (N/D)\n * Other (N/D)\n * Armenian (N/D)\n * Turkish (N/D)\n * Boer (N/D)\n * Other (N/D)\nMinor ethnic :\n * * Mixed (N/D) \n * Mestizo (N/D)\n * Pardo (N/D)\n * Other (N/D)\n * Native (2.83%) \n * Mapuche (0.32%)\n * GuaranΓ (0.29%)\n * Diaguita (0.19%)\n * Toba (0.17%)\n * Qulla (0.15%)\n * WichΓ (0.15%)\n * Other (1.56%)\n * East Asian (N/D) \n * Chinese (N/D)\n * Japanese (N/D)\n * Korean (N/D)\n * Other (N/D)\n * Black (0.66%) \n * Angolan (N/D)\n * Cape Verdean (N/D)\n * Other (N/D)\n * Indian (N/D)\n\n## Language\nOfficial : Spanish (96.8%)\nSpoken :\n * * Italian (1.7%)\n * Quechua (0.4%)\n * Others (1.1%)", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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population,2022\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,death rate,8.6,deaths per 1,000 population,2022\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,life expectancy,78.55,years,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,male life expectancy,75.49,years,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,female life expectancy,81.81,years,2023 est.\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,fertility rate,1.36,children born per woman,2022\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,demographic,infant mortality rate,8.4,deaths per 1,000 live 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male,\"14,929,084\",people,2022 census\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,age_structure,15-64 years female,\"14,827,733\",people,2022 census\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,age_structure,65 and over,11.9,percent,2022 census\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,age_structure,65 and over male,\"2,511,984\",people,2022 census\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,age_structure,65 and over female,\"3,391,820\",people,2022 census\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,sex_ratio,total,0.98,males per female,2023 est.\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,sex_ratio,at birth,1.07,males per female,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,sex_ratio,under 15,1.06,males per female,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,sex_ratio,15-64 years,1.01,males per female,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,sex_ratio,65 and over,0.74,males per female,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,nationality,nationality,Argentine,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,White,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,European,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Italian,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Spanish,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,French,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,German,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Arab,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Lebanese,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Syrian,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Armenian,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Turkish,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Boer,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,major_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Mixed,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Mestizo,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Pardo,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Native,2.83,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Mapuche,0.32,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,GuaranΓ,0.29,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Diaguita,0.19,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Toba,0.17,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Qulla,0.15,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,WichΓ,0.15,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Other,1.56,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,East Asian,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Chinese,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Japanese,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Korean,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Black,0.66,percent,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Angolan,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Cape Verdean,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Other,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,minor_ethnic,Indian,N/D,,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,language,Spanish,96.8,percent official,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,language,Italian,1.7,percent spoken,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,language,Quechua,0.4,percent spoken,\n3Gq2vWEDBTSoGhGLtzrichLB841qK5WXJNh9H9LefuiHy88xyBLx7KSPfo6nKbWCnWiSmEnpFwYZR97SjerjrztW__0__infobox__0,language,Others,1.1,percent spoken,\n"}]}, {"doc_id": "RNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Peru\n\n## Demographics of Peru\nPopulation : 33,726,000 (2023 est.)\nGrowth rate : 0.51% (2022 est.)\nBirth rate : 14.0 births/1,000 population (2022 est.)\nDeath rate : 4.4 deaths/1,000 population (2022 est.)\nLife expectancy : 68.94 years\nβ’ male : 65.38 years\nβ’ female : 72.67 years\nFertility rate : 1.90 children per woman (2020 est.)\nInfant mortality rate : 10.8 deaths/1,000 live births\nNet migration rate : -0.75 migrant(s)/1,000 population\n\n## Age structure\n0β14 years : 24.54%\n15β64 years : 66.25%\n65 and over : 9.21%\n\n## Nationality\nNationality : Peruvian\nMajor ethnic : Mixed (60.20%)\nMinor ethnic :\n * * Native (25.75%) \n * Quechua (22.32%)\n * Aymara (2.36%)\n * AshΓ‘ninka (0.24%)\n * Aguaruna (0.16%)\n * Shipibo-Conibo (0.11%)\n * Others (0.56%)\n * White (5.89%) \n * Spanish (N/D)\n * Italian (N/D)\n * German (N/D)\n * Others (N/D)\n * Black (3.57%)\n * East Asian (0.16%) \n * Japanese (0.10%)\n * Chinese (0.06%)\n * Others (4.42%)\n\n## Language\nOfficial :\nSpanish (82.6%) \nQuechua (13.9%) \nAymara (1.7%) \nOther native languages (0.8%)\nSpoken : Languages of Peru", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "RNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0__demographics_of_peru_infobox_facts.csv", "format": "csv", "content": "source_doc,country_text,category_text,item_text,value_text,percentage_float,unit_text,estimate_year_int,parent_item_text,note_text\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Population,33726000,,people,2023,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Growth rate,0.51,0.51,percent,2022,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Birth rate,14.0,,births per 1000 population,2022,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Death rate,4.4,,deaths per 1000 population,2022,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Life expectancy,68.94,,years,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Life expectancy male,65.38,,years,,Life expectancy,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Life expectancy female,72.67,,years,,Life expectancy,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Fertility rate,1.90,,children per woman,2020,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Infant mortality rate,10.8,,deaths per 1000 live births,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Demographics,Net migration rate,-0.75,,migrants per 1000 population,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Age structure,0-14 years,24.54,24.54,percent,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Age structure,15-64 years,66.25,66.25,percent,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Age structure,65 and over,9.21,9.21,percent,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Nationality,Nationality,Peruvian,,,,,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Mixed,60.20,60.20,percent,,,major ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Native,25.75,25.75,percent,,,minor ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Quechua,22.32,22.32,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Aymara,2.36,2.36,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,AshΓ‘ninka,0.24,0.24,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Aguaruna,0.16,0.16,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Shipibo-Conibo,0.11,0.11,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Others,0.56,0.56,percent,,Native,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,White,5.89,5.89,percent,,,minor ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Spanish,N/D,,,,\"White\",not determined\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Italian,N/D,,,,\"White\",not determined\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,German,N/D,,,,\"White\",not determined\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Others,N/D,,,,\"White\",not determined\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Black,3.57,3.57,percent,,,minor ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,East Asian,0.16,0.16,percent,,,minor ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Japanese,0.10,0.10,percent,,East Asian,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Chinese,0.06,0.06,percent,,East Asian,\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Ethnicity,Others,4.42,4.42,percent,,,minor ethnic\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Language,Spanish,82.6,82.6,percent,,,official\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Language,Quechua,13.9,13.9,percent,,,official\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Language,Aymara,1.7,1.7,percent,,,official\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Language,Other native languages,0.8,0.8,percent,,,official\nRNNcpJxRFWfmqvEMyqkvTqKfdDX5PHhbsWvkopGs5weGCsRt9ShUMKoQDcJCMo2gk47RN8QB6goJjRDuSX7JCZb__0__infobox__0,Peru,Language,Spoken,Languages of Peru,,,,,\n"}]}, {"doc_id": "43GPsRa2vetqnmph28jkZfApEX14nhU1DbVg32SqaeDrdMVrTDpWj1WBCzf1eh2mVv1XNCBVPG2h3DFuWnWqrUdC__7__table__0", "is_supporting": true, "n_structures": 0, "contents": "List of countries by life expectancy\nList of countries by life expectancy >>> World Health Organization (2019)\n# World Health Organization (2019)\n---\n| ('Countries', 'Countries') | ('Life expectancy at birth', 'All') | ('Life expectancy at birth', 'M') | ('Life expectancy at birth', 'F') | ('Life expectancy at birth', 'FΞM') | ('Life expectancy at birth', 'Ξ 2000') | ('HALE at birth', 'All') | ('HALE at birth', 'M') | ('HALE at birth', 'F') | ('HALE at birth', 'FΞM') | ('HALE at birth', 'Ξ 2000') | ('Life expectancy at age 60', 'All') | ('Life expectancy at age 60', 'M') | ('Life expectancy at age 60', 'F') | ('Life expectancy at age 60', 'FΞM') | ('Life expectancy at age 60', 'Ξ 2000') | ('HALE at age 60', 'All') | ('HALE at age 60', 'M') | ('HALE at age 60', 'F') | ('HALE at age 60', 'FΞM') | ('HALE at age 60', 'Ξ 2000') |\n|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|\n| Japan | 84.3 | 81.5 | 86.9 | 5.4 | 3.2 | 74.1 | 72.6 | 75.5 | 2.9 | 2.5 | 26.3 | 23.9 | 28.6 | 4.7 | 2.2 | 20.4 | 18.8 | 21.8 | 3.0 | 1.7 |\n| Switzerland | 83.4 | 81.8 | 85.1 | 3.3 | 3.7 | 72.5 | 72.2 | 72.8 | 0.6 | 3.2 | 25.4 | 24.1 | 26.6 | 2.5 | 2.4 | 19.5 | 18.8 | 20.2 | 1.4 | 1.8 |\n| South Korea | 83.3 | 80.3 | 86.1 | 5.8 | 7.1 | 73.1 | 71.3 | 74.7 | 3.4 | 5.7 | 25.8 | 23.4 | 27.9 | 4.5 | 5.1 | 19.8 | 18.2 | 21.2 | 3.0 | 3.9 |\n| Singapore | 83.2 | 81 | 85.5 | 4.5 | 4.8 | 73.6 | 72.4 | 74.7 | 2.3 | 4.1 | 25.5 | 23.8 | 27.2 | 3.4 | 4.0 | 20 | 18.8 | 21 | 2.2 | 3.4 |\n| Spain | 83.2 | 80.7 | 85.7 | 5.0 | 4.1 | 72.1 | 71.3 | 72.9 | 1.6 | 3.0 | 25.4 | 23.3 | 27.3 | 4.0 | 2.7 | 19.2 | 18 | 20.3 | 2.3 | 1.9 |\n| Cyprus | 83.1 | 81.1 | 85.1 | 4.0 | 4.4 | 72.4 | 71.8 | 73 | 1.2 | 3.3 | 24.9 | 23.3 | 26.4 | 3.1 | 3.0 | 19 | 18.1 | 19.9 | 1.8 | 2.2 |\n| Italy | 83 | 80.9 | 84.9 | 4.0 | 3.6 | 71.9 | 71.2 | 72.6 | 1.4 | 2.9 | 25 | 23.4 | 26.5 | 3.1 | 2.5 | 18.9 | 17.9 | 19.8 | 1.9 | 1.8 |\n| Australia | 83 | 81.3 | 84.8 | 3.5 | 3.3 | 70.9 | 70.2 | 71.7 | 1.5 | 2.3 | 25.6 | 24.4 | 26.8 | 2.4 | 2.5 | 19 | 18.2 | 19.7 | 1.5 | 1.7 |\n| Israel | 82.6 | 80.8 | 84.4 | 3.6 | 4.0 | 72.4 | 72 | 72.7 | 0.7 | 3.2 | 24.9 | 23.6 | 26 | 2.4 | 3.0 | 19.3 | 18.7 | 19.9 | 1.2 | 2.2 |\n| Norway | 82.6 | 81.1 | 84.1 | 3.0 | 4.1 | 71.4 | 71 | 71.6 | 0.6 | 3.0 | 24.7 | 23.5 | 25.8 | 2.3 | 2.7 | 18.5 | 17.8 | 19.1 | 1.3 | 1.8 |\n| France | 82.5 | 79.8 | 85.1 | 5.3 | 3.6 | 72.1 | 71.1 | 73.1 | 2.0 | 2.8 | 25.3 | 23.3 | 27.2 | 3.9 | 2.3 | 19.7 | 18.5 | 20.8 | 2.3 | 1.7 |\n| Sweden | 82.4 | 80.8 | 84 | 3.2 | 2.8 | 71.9 | 71.7 | 72.1 | 0.4 | 2.0 | 24.5 | 23.3 | 25.6 | 2.3 | 2.1 | 18.9 | 18.3 | 19.4 | 1.1 | 1.5 |\n| Luxembourg | 82.4 | 80.6 | 84.2 | 3.6 | 4.2 | 71.6 | 71.1 | 72 | 0.9 | 3.3 | 24.4 | 22.9 | 25.8 | 2.9 | 2.6 | 18.5 | 17.7 | 19.3 | 1.6 | 1.8 |\n| Iceland | 82.3 | 80.8 | 83.9 | 3.1 | 2.6 | 72 | 71.7 | 72.3 | 0.6 | 2.2 | 24.6 | 23.7 | 25.5 | 1.8 | 2.0 | 19 | 18.6 | 19.4 | 0.8 | 1.6 |\n| Canada | 82.2 | 80.4 | 84.1 | 3.7 | 3.1 | 71.3 | 70.5 | 72 | 1.5 | 1.9 | 25.2 | 23.8 | 26.4 | 2.6 | 2.7 | 19 | 18.2 | 19.7 | 1.5 | 1.7 |\n| New Zealand | 82 | 80.4 | 83.5 | 3.1 | 3.4 | 70.2 | 69.6 | 70.8 | 1.2 | 2.4 | 24.8 | 23.8 | 25.8 | 2.0 | 2.4 | 18.6 | 17.9 | 19.2 | 1.3 | 1.7 |\n| Malta | 81.9 | 79.9 | 83.8 | 3.9 | 4.0 | 71.5 | 70.9 | 71.9 | 1.0 | 3.0 | 24.5 | 23 | 25.9 | 2.9 | 3.7 | 18.9 | 18 | 19.6 | 1.6 | 2.7 |\n| Netherlands | 81.8 | 80.4 | 83.1 | 2.7 | 3.8 | 71.4 | 71.3 | 71.5 | 0.2 | 2.6 | 24.1 | 23 | 25.1 | 2.1 | 2.8 | 18.4 | 17.9 | 18.9 | 1.0 | 1.8 |\n| Ireland | 81.8 | 80.2 | 83.5 | 3.3 | 5.4 | 71.1 | 70.7 | 71.4 | 0.7 | 4.0 | 24.2 | 23 | 25.3 | 2.3 | 4.0 | 18.6 | 18 | 19.2 | 1.2 | 2.9 |\n| Germany | 81.7 | 78.7 | 84.8 | 6.1 | 3.6 | 70.9 | 69.7 | 72.1 | 2.4 || 24.4 | 21.9 | 26.9 | 5.0 | 2.6 | 18.5 | 17 | 19.9 | 2.9 | 1.7 |\n| Portugal | 81.6 | 78.6 | 84.4 | 5.8 | 5.0 | 71 | 69.6 | 72.2 | 2.6 | 4.2 | 24.3 | 22.1 | 26.3 | 4.2 | 3.1 | 18.6 | 17.3 | 19.8 | 2.5 | 2.3 |\n| Finland | 81.6 | 79.2 | 84 | 4.8 | 4.0 | 71 | 69.9 | 72 | 2.1 | 3.2 | 24.2 | 22.4 | 25.8 | 3.4 | 2.6 | 18.5 | 17.3 | 19.5 | 2.2 | 2.0 |\n| Austria | 81.6 | 79.4 | 83.8 | 4.4 | 3.4 | 70.9 | 69.9 | 71.9 | 2.0 | 2.7 | 24.1 | 22.4 | 25.6 | 3.2 | 2.1 | 18.3 | 17.2 | 19.4 | 2.2 | 1.6 |\n| Belgium | 81.4 | 79.3 | 83.5 | 4.2 | 3.7 | 70.6 | 69.8 | 71.3 | 1.5 | 2.8 | 24 | 22.3 | 25.6 | 3.3 | 2.4 | 18.2 | 17.2 | 19.1 | 1.9 | 1.6 |\n| United Kingdom | 81.4 | 79.8 | 83 | 3.2 | 3.5 | 70.1 | 69.6 | 70.6 | 1.0 | 2.5 | 24.1 | 23 | 25.2 | 2.2 | 2.8 | 18.3 | 17.6 | 18.9 | 1.3 | 2.0 |\n| Denmark | 81.3 | 79.6 | 83 | 3.4 | 4.4 | 71 | 70.7 | 71.4 | 0.7 | 3.4 | 23.6 | 22.3 | 24.9 | 2.6 | 3.0 | 18.2 | 17.6 | 18.9 | 1.3 | 2.2 |\n| Slovenia | 81.3 | 78.6 | 84.1 | 5.5 | 5.2 | 70.7 | 69 | 72.5 | 3.5 | 4.2 | 23.8 | 21.8 | 25.6 | 3.8 | 3.3 | 17.8 | 16.4 | 19.2 | 2.8 | 2.5 |\n| Greece | 81.1 | 78.6 | 83.6 | 5.0 | 2.9 | 70.9 | 69.9 | 71.9 | 2.0 | 2.3 | 23.8 | 22.1 | 25.5 | 3.4 | 2.3 | 18.4 | 17.3 | 19.5 | 2.2 | 1.6 |\n| Kuwait | 81 | 79.3 | 83.9 | 4.6 | 3.1 | 70.1 | 69.5 | 71.1 | 1.6 | 2.4 | 24 | 22.8 | 25.9 | 3.1 | 1.8 | 17.8 | 17.1 | 18.9 | 1.8 | 1.3 |\n| Costa Rica | 80.8 | 78.3 | 83.4 | 5.1 | 2.8 | 70 | 68.6 | 71.3 | 2.7 | 2.0 | 25 | 23.6 | 26.4 | 2.8 | 2.6 | 18.7 | 17.8 | 19.5 | 1.7 | 1.8 |\n| Chile | 80.7 | 78.1 | 83.2 | 5.1 | 3.9 | 70 | 69 | 71.1 | 2.1 | 3.0 | 24.3 | 22.4 | 25.9 | 3.5 | 3.0 | 18.4 | 17.3 | 19.3 | 2.0 ||\n| Peru | 79.9 | 78.5 | 81.3 | 2.8 | 5.5 | 69.5 | 69.2 | 69.8 | 0.6 | 4.6 | 24.4 | 23.7 | 25.1 | 1.4 | 2.1 | 18.5 | 18.3 | 18.7 | 0.4 | 1.5 |\n| Maldives | 79.6 | 78.6 | 80.8 | 2.2 | 8.6 | 70 | 69.7 | 70 | 0.3 | 7.6 | 22.1 | 21.4 | 23.1 | 1.7 | 4.1 | 16.8 | 16.4 | 17.2 | 0.8 | 3.1 |\n| Colombia | 79.3 | 76.7 | 81.9 | 5.2 | 5.6 | 69 | 67.4 | 70.5 | 3.1 | 4.9 | 24 | 22.5 | 25.3 | 2.8 | 2.3 | 18.1 | 17.1 | 18.9 | 1.8 ||\n| Panama | 79.3 | 76.6 | 82.1 | 5.5 | 2.1 | 68.7 | 67.4 | 70 | 2.6 | 1.5 | 24.3 | 22.6 | 26 | 3.4 | 1.0 | 18.1 | 17.1 | 19.2 | 2.1 | 0.5 |\n| Czech Republic | 79.1 | 76.3 | 81.9 | 5.6 | 4.1 | 68.8 | 67 | 70.6 | 3.6 | 2.9 | 22.1 | 19.9 | 24 | 4.1 | 2.8 | 16.3 | 14.7 | 17.8 | 3.1 | 1.7 |\n| Estonia | 78.9 | 74.7 | 82.6 | 7.9 | 8.0 | 69.2 | 66.4 | 71.7 | 5.3 | 6.6 | 22.5 | 19.3 | 25 | 5.7 | 3.9 | 17.3 | 14.8 | 19.1 | 4.3 | 3.0 |\n| Croatia | 78.6 | 75.5 | 81.6 | 6.1 | 4.2 | 68.6 | 66.7 | 70.5 | 3.8 | 3.2 | 21.8 | 19.4 | 23.7 | 4.3 | 2.8 | 16.2 | 14.6 | 17.7 | 3.1 | 1.8 |\n| Turkey | 78.6 | 76.4 | 80.7 | 4.3 | 4.2 | 68.4 | 67.8 | 69 | 1.2 | 3.4 | 22 | 20.6 | 23.2 | 2.6 | 0.5 | 16.6 | 15.8 | 17.3 | 1.5 | 0.3 |\n| United States of America | 78.5 | 76.3 | 80.7 | 4.4 | 1.8 | 66.1 | 65.2 | 67 | 1.8 | 0.3 | 23.1 | 21.8 | 24.4 | 2.6 | 1.7 | 16.4 | 15.6 | 17.1 | 1.5 | 0.7 |\n| Ecuador | 78.4 | 76.4 | 80.5 | 4.1 | 3.9 | 68.5 | 67.7 | 69.3 | 1.6 | 3.3 | 23.2 | 22 | 24.3 | 2.3 | 1.3 | 17.6 | 17 | 18.2 | 1.2 | 0.8 |\n| Poland | 78.3 | 74.5 | 81.9 | 7.4 | 4.6 | 68.7 | 65.9 | 71.3 | 5.4 | 3.7 | 22.1 | 19.5 | 24.3 | 4.8 | 2.9 | 16.8 | 14.9 | 18.5 | 3.6 | 2.1 |\n| Slovakia | 78.2 | 74.8 | 81.4 | 6.6 | 4.9 | 68.5 | 66.2 | 70.8 | 4.6 | 3.8 | 21.8 | 19.3 | 23.9 | 4.6 | 3.3 | 16.6 | 14.6 | 18.2 | 3.6 | 2.4 |\n| Albania | 78 | 76.3 | 79.9 | 3.6 | 4.5 | 69.1 | 68 | 70.3 | 2.3 | 3.9 | 21 | 20.2 | 21.9 | 1.7 | 2.0 | 16.6 | 15.9 | 17.3 | 1.4 | 1.6 |\n| Jordan | 77.9 | 77 | 78.8 | 1.8 | 5.3 | 67.6 | 68.1 | 67.2 | β0.9 | 4.0 | 21.8 | 21.6 | 22.1 | 0.5 | 3.2 | 16.2 | 16.3 | 16.2 | β0.1 | 2.3 |\n| Cuba | 77.8 | 75.4 | 80.3 | 4.9 | 1.0 | 67.8 | 66.6 | 69.2 | 2.6 | 0.7 | 21.6 | 20 | 23.2 | 3.2 | 0.0 | 16.3 | 15.2 | 17.4 | 2.2 | β0.2 |\n| Thailand | 77.7 | 74.4 | 81 | 6.6 | 6.4 | 68.3 | 65.9 | 70.6 | 4.7 | 5.7 | 23.6 | 22.1 | 24.8 | 2.7 | 2.8 | 18 | 17 | 18.8 | 1.8 | 2.4 |\n| China | 77.4 | 74.7 | 80.5 | 5.8 || 68.5 | 67.2 | 70 | 2.8 | 4.8 | 21.1 | 19.2 | 23.1 | 3.9 | 2.7 | 15.9 | 15 | 16.9 | 1.9 ||\n| Iran | 77.3 | 75.7 | 79.1 | 3.4 | 4.7 | 66.3 | 66 | 66.5 | 0.5 | 3.7 | 21.8 | 21.2 | 22.5 | 1.3 | 2.1 | 15.7 | 15.6 | 15.8 | 0.2 | 1.4 |\n| Qatar | 77.2 | 78 | 76.6 | β1.4 | 5.9 | 67.1 | 68.1 | 65.1 | β3.0 | 4.7 | 19.5 | 20.6 | 18.4 | β2.2 | 3.6 | 14.2 | 15.1 | 13.1 | β2.0 | 2.6 |\n| Uruguay | 77.1 | 73.5 | 80.6 | 7.1 | 2.3 | 67.5 | 65.4 | 69.5 | 4.1 | 1.6 | 21.7 | 19 | 24 | 5.0 | 1.1 | 16.6 | 14.9 | 18.2 | 3.3 | 0.6 |\n| Algeria | 77.1 | 76.2 | 78.1 | 1.9 | 4.9 | 66.4 | 66.7 | 66.1 | β0.6 | 3.7 | 22 | 21.5 | 22.6 | 1.1 | 2.2 | 16 | 15.9 | 16.2 | 0.3 | 1.4 |\n| Tunisia | 77 | 74.9 | 79.2 | 4.3 | 2.9 | 66.9 | 66.1 | 67.7 | 1.6 | 2.1 | 21.5 | 20.2 | 22.8 | 2.6 | 1.4 | 16 | 15.1 | 16.8 | 1.7 | 0.9 |\n| Sri Lanka | 76.9 | 73.8 | 79.8 | 6.0 | 5.0 | 67 | 65.1 | 69 | 3.9 | 4.0 | 20.8 | 18.6 | 22.6 | 4.0 | 1.2 | 15.3 | 13.8 | 16.6 | 2.8 | 0.6 |\n| Bosnia and Herzegovina | 76.8 | 74.4 | 79.1 | 4.7 | 1.4 | 67.2 | 65.7 | 68.7 | 3.0 | 1.0 | 20.2 | 18.6 | 21.6 | 3.0 | 0.6 | 15.2 | 14.1 | 16.2 | 2.1 | 0.2 |\n| Argentina | 76.6 | 73.5 | 79.5 | 6.0 | 2.5 | 67.1 | 65.4 | 68.8 | 3.4 | 2.0 | 21.1 | 18.8 | 23.1 | 4.3 | 0.9 | 16.3 | 14.8 | 17.6 | 2.8 | 0.7 |\n| Antigua and Barbuda | 76.5 | 74.9 | 78 | 3.1 | 1.9 | 67 | 66.2 | 67.7 | 1.5 || 20.6 | 19.8 | 21.3 | 1.5 | 0.3 | 15.8 | 15.3 | 16.3 | 1.0 | 0.1 |\n| Hungary | 76.4 | 73.1 | 79.6 | 6.5 | 5.1 | 67.2 | 65 | 69.3 | 4.3 | 4.2 | 20.2 | 17.7 | 22.3 | 4.6 | 2.2 | 15.3 | 13.4 | 16.8 | 3.4 | 1.7 |\n| Lebanon | 76.4 | 74 | 79.2 | 5.2 | 1.8 | 66 | 65.1 | 67 | 1.9 | 1.3 | 20.5 | 18.8 | 22.4 | 3.6 | 0.7 | 15 | 13.9 | 16.2 | 2.3 | 0.1 |\n| Trinidad and Tobago | 76.1 | 72.5 | 79.9 | 7.4 | 6.4 | 66.2 | 64 | 68.6 | 4.6 | 4.8 | 22.7 | 20.4 | 25 | 4.6 || 17.2 | 15.6 | 18.9 | 3.3 | 3.2 |\n| United Arab Emirates | 76.1 | 75.1 | 78.4 | 3.3 | 2.9 | 66 | 65.8 | 66.2 | 0.4 | 2.1 | 19.9 | 19.2 | 21.7 | 2.5 | 1.2 | 14.5 | 14.1 | 15.3 | 1.2 | 0.9 |\n| Armenia | 76 | 72.5 | 79.2 | 6.7 | 4.1 | 67.1 | 64.9 | 69.1 | 4.2 | 3.6 | 20.4 | 18.2 | 22.1 | 3.9 | 1.6 | 15.7 | 14.2 | 16.9 | 2.7 | 1.2 |\n| Barbados | 76 | 74.3 | 77.7 | 3.4 | 1.5 | 67 | 66.2 | 67.7 | 1.5 | 1.0 | 20.9 | 19.9 | 21.8 | 1.9 | 0.2 | 16.3 | 15.7 | 16.9 | 1.2 | β0.1 |\n| Lithuania | 76 | 71.2 | 80.4 | 9.2 | 4.0 | 66.7 | 63.4 | 69.7 | 6.3 | 3.6 | 20.9 | 17.6 | 23.5 | 5.9 | 1.4 | 15.9 | 13.4 | 17.8 | 4.4 | 1.2 |\n| Jamaica | 76 | 74.4 | 77.7 | 3.3 | 1.8 | 66.6 | 65.9 | 67.3 | 1.4 | 1.2 | 21.3 | 20.1 | 22.6 | 2.5 | 0.3 | 16.4 | 15.5 | 17.3 | 1.8 | 0.1 |\n| Mexico | 76 | 73.1 | 78.9 | 5.8 | 1.6 | 65.8 | 64.3 | 67.2 | 2.9 | 1.2 | 21.8 | 20.5 | 23.1 | 2.6 | 0.2 | 16.1 | 15.3 | 16.8 | 1.5 | 0.3 |\n| Montenegro | 75.9 | 73.2 | 78.7 | 5.5 | 2.3 | 67 | 65.2 | 68.7 | 3.5 | 1.8 | 19.4 | 17.4 | 21.3 | 3.9 | 0.2 | 14.9 | 13.5 | 16.3 | 2.8 | 0.0 |\n| Serbia | 75.9 | 73.5 | 78.3 | 4.8 | 4.5 | 66.9 | 65.4 | 68.4 | 3.0 | 3.5 | 19.6 | 17.9 | 21.1 | 3.2 | 2.5 | 14.9 | 13.7 | 16 | 2.3 | 1.7 |\n| Brazil | 75.9 | 72.4 | 79.4 | 7.0 | 4.4 | 65.4 | 63.4 | 67.4 | 4.0 | 3.7 | 21.9 | 20.1 | 23.5 | 3.4 | 2.2 | 16.4 | 15.2 | 17.4 | 2.2 | 1.6 |\n| Bahrain | 75.8 | 75 | 77 | 2.0 | 5.3 | 65.9 | 66 | 65.5 | β0.5 | 4.0 | 19 | 18.7 | 19.4 | 0.7 | 4.0 | 13.8 || 13.9 | 0.1 | 2.7 |\n| Paraguay | 75.8 | 73.1 | 78.8 | 5.7 | 1.0 | 65.8 | 64.5 | 67.3 | 2.8 | 0.8 | 21.8 | 20.2 | 23.5 | 3.3 | β0.2 | 16.5 | 15.4 | 17.6 | 2.2 | β0.3 |\n| Libya | 75.8 | 74.2 | 77.3 | 3.1 | 1.4 | 65.2 | 64.9 | 65.5 | 0.6 || 21.3 | 20.5 | 21.9 | 1.4 | 0.3 | 15.5 | 15.3 | 15.8 | 0.5 | β0.1 |\n| Romania | 75.6 | 72 | 79.3 | 7.3 | 4.2 | 66.8 | 64.3 | 69.4 | 5.1 | 3.5 | 20.3 | 17.8 | 22.4 | 4.6 | 2.1 | 15.7 | 13.8 | 17.3 | 3.5 | 1.6 |\n| Latvia | 75.4 | 70.6 | 79.8 | 9.2 | 5.2 | 66.2 | 62.9 | 69.3 | 6.4 | 4.6 | 20.5 | 17.2 | 23 | 5.8 | 2.2 | 15.6 | 13.2 | 17.4 | 4.2 | 1.7 |\n| Bulgaria | 75.1 | 71.6 | 78.6 | 7.0 | 3.5 | 66.3 | 63.9 | 68.7 | 4.8 | 2.8 | 19.8 | 17.4 | 22 | 4.6 | 2.2 | 15.2 | 13.4 | 16.9 | 3.5 | 1.5 |\n| Nicaragua | 75 | 72.1 | 77.9 | 5.8 | 1.7 | 65.5 | 63.7 | 67.2 | 3.5 | 1.8 | 20 | 18 | 21.9 | 3.9 | β0.1 | 15.1 | 13.7 | 16.3 | 2.6 | 0.0 |\n| El Salvador | 75 | 70.6 | 79.1 | 8.5 | 2.5 | 64.9 | 61.6 | 67.8 | 6.2 | 2.2 | 22.1 | 20.4 | 23.6 | 3.2 | 0.7 | 16.4 | 15.1 | 17.4 | 2.3 | 0.3 |\n| North Macedonia | 74.8 | 72.8 | 76.9 | 4.1 | 3.7 | 66.1 | 65.1 | 67.3 | 2.2 | 2.9 | 18.3 | 17 | 19.6 | 2.6 | 1.9 | 14 | 13.1 | 14.9 | 1.8 | 1.3 |\n| Belarus | 74.8 | 69.7 | 79.6 | 9.9 | 6.0 | 66 | 62.3 | 69.4 | 7.1 | 5.2 | 19.7 | 16 | 22.5 | 6.5 | 2.5 | 15.1 | 12.3 | 17.2 | 4.9 | 2.0 |\n| Malaysia | 74.7 | 72.6 | 77.1 | 4.5 | 1.9 | 65.7 | 64.5 | 66.9 | 2.4 | 1.7 | 19.5 | 18.5 | 20.6 | 2.1 | 1.4 | 14.6 | 14 | 15.3 | 1.3 | 1.1 |\n| Belize | 74.4 | 71.4 | 77.8 | 6.4 | 4.1 | 65.3 | 63.5 | 67.3 | 3.8 | 3.0 | 21.5 | 20.3 | 22.9 | 2.6 | 2.8 | 16.7 | 15.9 | 17.6 | 1.7 | 2.0 |\n| Brunei Darussalam | 74.3 | 73.4 | 75.4 | 2.0 | 2.1 | 65.6 | 65.2 | 66.1 | 0.9 | 1.7 | 19.2 | 19 | 19.4 | 0.4 | 2.4 | 14.5 | 14.3 | 14.7 | 0.4 | 1.9 |\n| Saint Lucia | 74.3 | 71.3 | 77.7 | 6.4 | 1.1 | 64.7 | 63 | 66.6 | 3.6 | 0.7 | 20.9 | 19.2 | 22.9 | 3.7 | 0.9 | 15.8 | 14.7 | 17.1 | 2.4 | 0.6 |\n| Bangladesh | 74.3 | 73 | 75.6 | 2.6 | 8.7 | 64.3 | 64.2 | 64.4 | 0.2 | 7.3 | 20.9 | 20.3 | 21.5 | 1.2 | 3.1 | 15.5 | 15.4 | 15.7 | 0.3 | 2.2 |\n| Saudi Arabia | 74.3 | 73.1 | 76.1 | 3.0 | 3.8 | 64 | 63.8 | 64.4 | 0.6 | 2.8 | 19.9 | 19.3 | 20.8 | 1.5 | 2.4 | 14 | 13.8 | 14.4 | 0.6 | 1.6 |\n| Kyrgyzstan | 74.2 | 70.7 | 77.3 | 6.6 | 8.2 | 65.8 | 63.6 | 67.7 | 4.1 | 7.1 | 20 | 17.8 | 21.7 | 3.9 | 3.3 | 15.7 | 14.2 | 16.8 | 2.6 ||\n| Mauritius | 74.1 | 71 | 77.3 | 6.3 | 2.9 | 63.9 | 62 | 65.9 | 3.9 | 2.0 | 20.3 | 18.5 | 22 | 3.5 | 2.5 | 14.5 | 13.3 | 15.6 | 2.3 | 1.6 |\n| Kazakhstan | 74 | 70 | 77.6 | 7.6 | 10.9 | 65 | 62.4 | 67.4 | 5.0 | 8.9 | 19.5 | 16.8 | 21.4 | 4.6 | 4.2 | 14.8 | 13 | 16.2 | 3.2 | 3.0 |\n| Cabo Verde | 74 | 69.9 | 77.9 | 8.0 | 3.0 | 64.8 | 62.2 | 67.2 | 5.0 | 2.8 | 19.7 | 16.8 | 21.8 | 5.0 | β0.7 | 14.9 | 13 | 16.3 | 3.3 | β0.5 |\n| Oman | 73.9 | 73 | 75.3 | 2.3 | 4.8 | 64.7 | 64.5 || 0.0 | 3.8 | 17.8 | 17.2 | 18.5 | 1.3 | 2.2 | 13.2 | 12.9 | 13.5 | 0.6 | 1.5 |\n| Venezuela | 73.9 | 69.9 | 78.2 | 8.3 | β0.2 | 64.4 | 61.9 | 67.1 | 5.2 | β0.3 | 21.7 | 19.7 | 23.6 | 3.9 | 0.4 | 16.3 | 15 | 17.5 | 2.5 | 0.3 |\n| Viet Nam | 73.7 | 69.6 | 78.1 | 8.5 | 2.3 | 65.3 | 62.4 | 68.3 | 5.9 | 2.0 | 19.6 | 16.9 | 22 | 5.1 | 0.7 | 14.8 | 12.9 | 16.4 | 3.5 | 0.5 |\n| Georgia | 73.3 | 68.8 | 77.8 | 9.0 | 3.9 | 64.7 | 61.4 | 67.9 | 6.5 | 2.8 | 18.8 | 16 | 21 | 5.0 | 1.8 | 14.4 | 12.4 | 16.1 | 3.7 | 1.0 |\n| Moldova | 73.3 | 69.3 | 77.1 | 7.8 | 6.4 | 64.5 | 61.9 | 67.1 | 5.2 || 19 | 16.6 | 20.9 | 4.3 | 3.2 | 14.6 | 12.8 | 16 | 3.2 | 2.5 |\n| Seychelles | 73.3 | 70 | 77.1 | 7.1 | 1.4 | 64 | 61.9 | 66.4 | 4.5 | 0.9 | 19.5 | 17.5 | 21.5 | 4.0 | 0.5 | 14.1 | 12.7 | 15.4 | 2.7 | 0.2 |\n| World | 73.3 | 70.8 | 75.9 | 5.1 | 6.5 | 63.7 | 62.5 | 64.9 | 2.4 | 5.4 | 21.1 | 19.5 | 22.7 | 3.2 | 2.3 | 15.8 | 14.8 | 16.6 | 1.8 | 1.7 |\n| Bahamas | 73.2 | 69.9 | 76.6 | 6.7 | 2.3 | 64.4 | 62.3 | 66.5 | 4.2 | 1.7 | 20.8 | 19.1 | 22.4 | 3.3 | 0.9 | 16.2 | 14.9 | 17.3 | 2.4 | 0.6 |\n| Russia | 73.2 | 68.2 | 78 | 9.8 | 7.9 | 64.2 | 60.7 | 67.5 | 6.8 | 6.9 | 19.9 | 16.8 | 22.2 | 5.4 | 3.5 | 15 | 12.8 | 16.7 | 3.9 | 2.7 |\n| Saint Vincent and the Grenadines | 73.2 | 71.3 | 75.3 | 4.0 | 2.6 | 64 | 62.9 | 65.1 | 2.2 | 1.8 | 20.9 | 20.2 | 21.6 | 1.4 | 2.4 | 15.9 | 15.4 | 16.4 | 1.0 | 1.6 |\n| Bhutan | 73.1 | 72 | 74.4 | 2.4 | 7.4 | 63.4 | 63.2 | 63.5 | 0.3 | 6.3 | 19.4 | 18.9 | 19.9 | 1.0 | 1.5 | 14.5 | 14.3 | 14.7 | 0.4 | 1.0 |\n| Uzbekistan | 73 | 70.8 | 75.2 | 4.4 | 7.7 | 64.7 | 63.5 | 65.8 | 2.3 | 6.6 | 18.6 | 17.3 | 19.8 | 2.5 | 2.6 | 14.5 | 13.7 | 15.3 | 1.6 | 1.9 |\n| Ukraine | 73 | 68 | 77.8 | 9.8 | 5.5 | 64.3 | 60.6 | 67.8 | 7.2 | 4.6 | 19.5 | 16.4 | 21.7 | 5.3 | 2.7 | 15 | 12.7 | 16.7 | 4.0 | 2.2 |\n| Morocco | 73 | 71.7 | 74.3 | 2.6 | 3.7 | 63.7 ||| 0.0 | 3.0 | 18.7 | 17.7 | 19.6 | 1.9 | 0.3 | 14.1 | 13.7 | 14.6 | 0.9 | 0.0 |\n| Grenada | 72.9 | 70.6 | 75.3 | 4.7 | 0.9 | 63.9 | 62.6 | 65.4 | 2.8 | 0.3 | 18.7 | 17.2 | 20.3 | 3.1 | 0.8 | 14.3 | 13.1 | 15.6 | 2.5 | 0.4 |\n| Dominican Republic | 72.8 | 69.8 | 76.2 | 6.4 | β0.4 | 64 | 62.1 | 66.1 | 4.0 | β0.1 | 20.6 | 19 | 22.4 | 3.4 | β1.8 | 16 | 14.8 | 17.2 | 2.4 | β1.3 |\n| Syria | 72.7 | 71.2 | 74.3 | 3.1 | 1.2 | 62.9 | 62.5 | 63.3 | 0.8 | 0.1 | 18.7 | 18.2 | 19.3 | 1.1 || 13.9 | 13.8 | 14.2 | 0.4 | 0.5 |\n| North Korea | 72.6 | 69.3 | 75.7 | 6.4 | 8.6 | 65 | 63.3 | 66.6 | 3.3 | 7.2 | 19.1 | 16.8 | 20.8 | 4.0 | 3.6 | 14.9 | 13.6 | 15.8 | 2.2 | 2.6 |\n| Tonga | 72.6 | 69.8 | 75.6 | 5.8 | 1.7 | 64 | 62.7 | 65.5 | 2.8 | 1.1 | 19 | 17 | 21.2 | 4.2 | 1.0 | 14.5 | 13.3 | 15.7 | 2.4 | 0.7 |\n| Iraq | 72.4 | 69.9 | 75 | 5.1 | 3.6 | 62.7 | 61.6 | 63.7 | 2.1 | 3.2 | 19.2 | 17.6 | 20.7 | 3.1 | 0.9 | 14.2 | 13.3 | 15 | 1.7 | 0.7 |\n| Bolivia | 72.1 | 71.1 | 73.1 | 2.0 | 6.1 | 63.3 | 63.2 | 63.3 | 0.1 | 5.4 | 18.6 | 18 | 19.1 | 1.1 | 0.8 | 14.2 | 14 | 14.4 | 0.4 | 0.6 |\n| Guatemala | 72 | 69 | 75 | 6.0 | 5.2 | 62.3 | 60.5 | 64.1 | 3.6 | 4.5 | 20.5 | 19.4 | 21.4 | 2.0 | 1.4 | 15 | 14.4 | 15.5 | 1.1 | 0.9 |\n| Honduras | 71.9 | 70.7 | 73.2 | 2.5 | 1.9 | 63 | 62.7 | 63.3 | 0.6 | 1.8 | 18.3 | 17.5 | 19.1 | 1.6 | β1.3 | 13.8 | 13.4 | 14.2 | 0.8 | β0.9 |\n| Egypt | 71.8 | 69.6 | 74.1 | 4.5 | 2.0 | 63 | 62.3 | 63.7 | 1.4 | 1.8 | 17.8 | 16.5 | 19.1 | 2.6 | β0.7 | 13.4 | 12.7 | 14 | 1.3 | β0.5 |\n| Suriname | 71.5 | 68.5 | 74.6 | 6.1 | 1.6 | 62.4 | 60.7 | 64.2 | 3.5 | 1.1 | 18.5 | 16.4 | 20.5 | 4.1 | β0.4 | 14.1 | 12.6 | 15.4 | 2.8 | β0.4 |\n| Azerbaijan | 71.4 | 68.8 | 74.1 | 5.3 | 5.9 | 63.6 | 62.1 | 65.2 | 3.1 | 5.1 | 17.1 | 15.6 | 18.3 | 2.7 | 0.5 | 13.4 | 12.4 | 14.2 | 1.8 | 0.3 |\n| Indonesia | 71.3 | 69.4 | 73.3 | 3.9 | 4.1 | 62.8 | 61.9 | 63.8 | 1.9 | 3.8 | 17.9 | 16.7 | 19.1 | 2.4 | 0.3 | 13.4 | 12.7 | 14 | 1.3 | 0.4 |\n| Nepal | 70.9 | 68.9 | 72.7 | 3.8 | 5.6 | 61.3 | 60.6 | 62.1 | 1.5 | 5.0 | 18 | 16.8 | 19.2 | 2.4 | 0.4 | 13.3 | 12.7 | 13.8 | 1.1 | 0.5 |\n| India | 70.8 | 69.5 | 72.2 | 2.7 | 8.7 | 60.3 || 60.4 | 0.1 | 7.4 | 18.8 | 18.1 | 19.5 | 1.4 | 2.7 | 13.2 | 13 | 13.5 | 0.5 | 1.9 |\n| Samoa | 70.5 | 69.2 | 71.8 | 2.6 | 2.0 | 62.1 | 61.8 | 62.5 | 0.7 | 1.4 | 17.9 | 17.4 | 18.3 | 0.9 | 0.8 | 13.4 | 13.3 | 13.5 | 0.2 | 0.5 |\n| Philippines | 70.4 | 67.4 | 73.6 | 6.2 | 1.4 | 62 | 60.1 | 63.9 | 3.8 | 1.4 | 17.8 | 15.8 | 19.6 | 3.8 | 0.2 | 13.4 | 12.1 | 14.6 | 2.5 | 0.1 |\n| Sao Tome and Principe | 70.4 | 68.8 | 72 | 3.2 | 6.9 | 61.6 | 60.9 | 62.2 | 1.3 | 6.0 | 17.7 | 16.7 | 18.6 | 1.9 | 0.6 | 13.1 | 12.6 | 13.7 | 1.1 | 0.5 |\n| Cambodia | 70.1 | 67.2 | 72.7 | 5.5 | 11.4 | 61.5 | 59.8 | 63 | 3.2 | 10.1 | 17.7 | 15.9 | 19.1 | 3.2 | 1.9 | 13.2 | 12 | 14.1 | 2.1 | 1.4 |\n| Turkmenistan | 69.7 | 66.5 | 73 | 6.5 | 6.4 | 62.1 | 59.9 | 64.3 | 4.4 | 5.5 | 18.7 | 17.1 | 20.1 | 3.0 | 2.4 | 14.7 | 13.6 | 15.6 | 2.0 | 1.8 |\n| Timor-Leste | 69.6 | 67.9 | 71.4 | 3.5 | 6.9 | 60.9 | 59.8 | 62 | 2.2 | 7.8 | 17.9 | 16.9 | 18.9 | 2.0 | 0.0 | 13.2 | 12.5 | 13.8 | 1.3 | 0.7 |\n| Tajikistan | 69.5 | 67.6 | 71.5 | 3.9 || 62 | 60.9 | 63.2 | 2.3 | 3.7 | 16.1 | 15.1 | 17.2 | 2.1 | β1.1 | 12.7 | 12.1 | 13.4 | 1.3 | β0.9 |\n| Myanmar | 69.1 | 65.9 | 72.2 | 6.3 | 9.1 | 60.9 | 58.8 | 62.8 | 4.0 | 8.0 | 18.1 | 16.2 | 19.6 | 3.4 | 2.7 | 13.6 | 12.4 | 14.6 | 2.2 | 1.9 |\n| Rwanda | 69.1 | 66.9 | 71.2 | 4.3 | 21.6 | 60.2 | 59 | 61.4 | 2.4 | 19.0 | 18 | 16.6 | 19.2 | 2.6 | 4.6 | 13.6 | 12.7 | 14.4 | 1.7 | 3.6 |\n| Sudan | 69.1 | 67.6 | 70.8 | 3.2 | 6.6 | 59.9 | 59.6 | 60.3 | 0.7 | 5.6 | 18.6 | 17.8 | 19.4 | 1.6 | 1.3 | 13.6 | 13.3 | 14 | 0.7 | 1.0 |\n| Ethiopia | 68.7 | 66.9 | 70.5 | 3.6 | 18.1 | 59.9 | 59 | 60.8 | 1.8 | 15.6 | 18.4 | 17.4 | 19.4 | 2.0 | 4.3 | 13.9 | 13.3 | 14.4 | 1.1 | 3.3 |\n| Senegal | 68.6 | 66.8 | 70.1 | 3.3 | 10.0 | 59.4 | 58.8 | 59.9 | 1.1 | 8.6 | 18.1 | 17.2 | 18.9 | 1.7 | 1.5 | 13.1 | 12.6 | 13.5 | 0.9 | 1.1 |\n| Laos | 68.5 | 66.2 | 70.9 | 4.7 | 10.1 | 60.5 | 59.2 | 61.9 | 2.7 | 8.7 | 17.6 | 16.3 | 18.9 | 2.6 | 2.3 | 13.3 | 12.5 | 14 | 1.5 | 1.7 |\n| Mauritania | 68.4 | 68.1 | 68.7 | 0.6 | 6.4 | 59.8 | 60.2 | 59.4 | β0.8 | 5.4 | 19 | 19.1 | 18.9 | β0.2 | 1.9 | 14.3 | 14.6 | 14.1 | β0.5 | 1.5 |\n| Mongolia | 68.1 | 63.8 | 72.8 | 9.0 | 7.6 | 60.3 | 57.1 | 63.8 | 6.7 | 6.5 | 16.4 | 14.2 | 18.5 | 4.3 | 3.0 | 12.6 | 11 | 14.2 | 3.2 | 2.3 |\n| Fiji | 68 | 65.9 | 70.3 | 4.4 | 2.1 | 59.6 | 58.5 | 60.7 | 2.2 | 1.5 | 16.2 | 14.9 | 17.5 | 2.6 | 1.5 | 11.8 | 11.1 | 12.6 | 1.5 | 0.9 |\n| Comoros | 67.4 | 65.9 | 68.9 | 3.0 | 5.9 | 58.9 | 58.3 | 59.6 | 1.3 | 5.1 | 18.1 | 17.4 | 18.8 | 1.4 | 1.8 | 13.7 | 13.2 | 14.1 | 0.9 | 1.4 |\n| Tanzania | 67.3 | 65.4 | 69.3 | 3.9 | 14.8 | 58.5 | 57.6 | 59.3 | 1.7 | 13.1 | 18.2 | 17.1 | 19.1 | 2.0 | 2.2 | 13.4 | 12.7 | 13.9 | 1.2 | 1.7 |\n| Uganda | 66.7 | 63.2 | 70.1 | 6.9 | 17.9 | 58.2 | 56 | 60.4 | 4.4 | 15.7 | 17.7 | 15.7 | 19.4 | 3.7 | 3.0 | 13.4 | 12 | 14.6 | 2.6 | 2.3 |\n| Yemen | 66.6 | 64.4 | 68.9 | 4.5 | 3.9 | 57.5 | 56.9 | 58.2 | 1.3 | 3.0 | 17.8 | 16.8 | 18.7 | 1.9 | 1.0 | 13.3 | 12.8 | 13.7 | 0.9 | 0.7 |\n| Gabon | 66.5 | 63.6 | 69.7 | 6.1 | 8.4 | 57.6 | 56 | 59.3 | 3.3 | 7.1 | 17.2 | 15.2 | 19.3 | 4.1 | 2.0 | 12.8 | 11.4 | 14.2 | 2.8 | 1.5 |\n| Ghana | 66.3 | 63.7 | 69.2 | 5.5 | 7.1 | 58 | 56.5 | 59.6 | 3.1 | 6.1 | 17.2 | 15.7 | 18.9 | 3.2 | 1.2 | 12.9 | 11.9 | 14 | 2.1 | 0.9 |\n| Kenya | 66.1 | 63.7 | 68.4 | 4.7 | 12.2 | 57.7 | 56.4 | 58.9 | 2.5 | 10.8 | 17.6 | 16 | 19.1 | 3.1 | 1.3 | 13.1 | 11.9 | 14 | 2.1 | 1.3 |\n| Djibouti | 65.8 | 64.1 | 67.8 | 3.7 | 6.0 | 58 | 57.2 | 58.9 | 1.7 | 5.3 | 17.8 | 16.6 | 19 | 2.4 | 1.5 | 13.6 | 12.9 | 14.4 | 1.5 | 1.1 |\n| Guyana | 65.7 | 62.5 | 69.4 | 6.9 | 2.7 | 57.2 | 55.1 | 59.7 | 4.6 | 2.2 | 16.6 | 15.1 | 18.1 | 3.0 | 0.7 | 12.5 | 11.5 | 13.6 | 2.1 | 0.4 |\n| Malawi | 65.6 | 62.3 | 68.9 | 6.6 | 20.9 | 57.1 | 55.1 | 59 | 3.9 | 18.0 | 17.2 | 15.1 | 19 | 3.9 | 3.2 | 12.8 | 11.3 | 14 | 2.7 | 2.5 |\n| Pakistan | 65.6 | 64.6 | 66.7 | 2.1 | 5.5 | 56.9 || 56.8 | β0.1 | 4.6 | 17.3 | 16.8 | 17.8 | 1.0 | 1.6 | 12.6 | 12.5 | 12.6 | 0.1 | 1.1 |\n| Gambia | 65.5 | 63.4 | 67.7 | 4.3 | 6.3 | 57 | 56.4 | 57.7 | 1.3 | 5.3 | 16.9 | 15.8 | 18 | 2.2 | 0.7 | 12.6 | 12.1 | 13.2 | 1.1 | 0.4 |\n| Vanuatu | 65.3 | 62.7 | 68.3 | 5.6 | 1.4 | 57.8 | 56.4 | 59.4 | 3.0 | 1.0 | 15.7 | 14.8 | 16.7 | 1.9 | 0.7 | 11.9 | 11.5 | 12.4 | 0.9 | 0.4 |\n| Madagascar | 65.3 | 64.1 | 66.6 | 2.5 | 6.5 | 57.3 | 56.9 | 57.7 | 0.8 | 6.0 | 16.8 | 16.1 | 17.3 | 1.2 | 1.4 | 12.6 | 12.3 | 12.9 | 0.6 | 1.1 |\n| Papua New Guinea | 65.3 | 63.4 | 67.4 | 4.0 | 2.0 | 57.1 | 56.2 | 58.1 | 1.9 | 1.8 | 16.5 | 15.4 | 17.6 | 2.2 | 0.1 | 12.3 | 11.7 | 12.8 | 1.1 | 0.1 |\n| South Africa | 65.3 | 62.2 | 68.3 | 6.1 | 9.5 | 56.2 | 54.6 | 57.7 | 3.1 | 7.7 | 19.1 | 17.3 | 20.5 | 3.2 | 2.9 | 13.9 | 12.7 | 14.8 | 2.1 | 2.0 |\n| Solomon Islands | 65.2 | 62.9 | 67.9 | 5.0 | 2.7 | 57.8 | 56.5 | 59.1 | 2.6 | 2.1 | 15.5 | 14.7 | 16.3 | 1.6 | 1.1 | 11.8 | 11.4 | 12.2 | 0.8 | 0.7 |\n| Congo, Republic of | 64.7 | 63.8 | 65.6 | 1.8 | 12.6 | 56.2 | 56.4 | 56.1 | β0.3 | 10.8 | 16.4 | 15.7 | 17.1 | 1.4 | 2.5 | 12.2 | 11.9 | 12.5 | 0.6 | 1.9 |\n| Namibia | 64.6 | 60.6 | 68.4 | 7.8 | 11.3 | 56.1 | 53.4 | 58.6 | 5.2 | 9.5 | 17.2 | 14.7 | 19.3 | 4.6 | 2.6 | 12.7 | 10.8 | 14.2 | 3.4 | 1.9 |\n| Togo | 64.3 | 61.5 | 67.2 | 5.7 | 8.4 | 56.2 | 54.7 | 57.8 | 3.1 | 7.3 | 17 | 15.4 | 18.6 | 3.2 | 1.3 | 12.8 | 11.8 | 13.8 | 2.0 | 1.1 |\n| Haiti | 64.1 | 63.3 | 64.8 | 1.5 | 7.1 | 55.8 | 55.9 | 55.8 | β0.1 | 5.8 | 16.8 | 16.5 | 17 | 0.5 | 1.0 | 12.8 | 12.7 | 12.9 | 0.2 | 0.7 |\n| Eritrea | 64.1 | 61.3 | 67.1 | 5.8 | 9.6 | 55.7 | 53.9 | 57.7 | 3.8 | 8.7 | 15.5 | 14.1 | 16.8 | 2.7 | 2.0 | 11.4 | 10.4 | 12.4 | 2.0 | 1.5 |\n| Liberia | 64.1 | 63.2 | 65 | 1.8 | 10.3 | 54.9 || 55 | 0.1 | 9.1 | 17.7 | 17.4 | 18 | 0.6 | 1.9 | 12.9 | 12.8 | 12.9 | 0.1 | 1.5 |\n| Burundi | 63.8 | 61.5 | 66.1 | 4.6 | 20.0 | 55.6 | 54 | 57.2 | 3.2 | 17.5 | 16.5 | 15.2 | 17.6 | 2.4 | 3.5 | 12.7 | 11.8 | 13.5 | 1.7 | 2.8 |\n| Benin | 63.4 | 61.2 | 65.7 | 4.5 | 6.8 | 55.5 | 54.5 | 56.6 | 2.1 | 5.9 | 17.4 | 16.1 | 18.5 | 2.4 | 1.3 | 13 | 12.3 | 13.7 | 1.4 | 0.9 |\n| Niger | 63.3 | 62.1 | 64.6 | 2.5 | 12.9 | 55.5 | 55.3 | 55.8 | 0.5 | 11.3 | 17.2 | 16.6 | 17.8 | 1.2 | 1.4 | 13 | 12.7 | 13.3 | 0.6 | 1.0 |\n| Afghanistan | 63.2 | 63.3 | 63.2 | β0.1 | 8.2 | 53.9 | 54.7 | 53.2 | β1.5 | 7.1 | 15.2 | 15.4 | 15.1 | β0.3 | 1.3 | 10.8 | 11.2 | 10.6 | β0.6 | 0.6 |\n| Angola | 63.1 | 60.7 | 65.5 | 4.8 | 13.8 | 54.8 | 53.6 | 56.2 | 2.6 | 11.9 | 17 | 15.4 | 18.6 | 3.2 | 2.6 | 12.6 | 11.6 | 13.7 | 2.1 | 1.9 |\n| Federated States of Micronesia | 63 | 60.3 | 66 | 5.7 | 1.8 | 56 | 54.4 | 57.8 | 3.4 | 1.5 | 14.7 | 13.8 | 15.6 | 1.8 | 0.1 | 11.1 | 10.7 | 11.6 | 0.9 | β0.1 |\n| CΓ΄te d'Ivoire | 62.9 | 60.5 | 65.8 | 5.3 | 12.6 | 54.8 | 53.4 | 56.5 | 3.1 | 10.8 | 17.1 | 15.8 | 18.7 | 2.9 | 2.6 | 12.7 | 11.9 | 13.7 | 1.8 | 2.0 |\n| Mali | 62.8 | 62.2 | 63.4 | 1.2 | 10.2 | 54.6 | 54.8 | 54.5 | β0.3 | 9.0 | 17.5 | 17.3 | 17.6 | 0.3 | 1.5 | 12.8 | 12.9 | 12.7 | β0.2 | 1.1 |\n| South Sudan | 62.8 | 60.8 | 64.8 | 4.0 | 8.7 | 53.7 | 52.9 | 54.5 | 1.6 | 7.3 | 17.8 | 16.6 | 18.9 | 2.3 | 1.5 | 12.7 | 12.2 | 13.1 | 0.9 | 1.1 |\n| Burkina Faso | 62.7 | 60.1 | 65.2 | 5.1 | 11.1 | 54.9 | 53.4 | 56.3 | 2.9 | 10.0 | 16.8 | 15.2 | 18.1 | 2.9 | 1.3 | 12.6 | 11.6 | 13.4 | 1.8 | 1.1 |\n| Nigeria | 62.6 | 61.2 | 64.1 | 2.9 | 9.0 | 54.4 | 53.9 | 54.9 | 1.0 | 7.9 | 18.2 | 17.6 | 18.9 | 1.3 | 2.0 | 13.5 | 13.3 | 13.8 | 0.5 | 1.5 |\n| Zambia | 62.5 | 59.5 | 65.4 | 5.9 | 18.0 | 54.4 | 52.5 | 56.3 | 3.8 | 15.4 | 16.5 | 14.7 | 18 | 3.3 || 12.6 | 11.3 | 13.7 | 2.4 | 2.6 |\n| Cameroon | 62.4 | 60.3 | 64.5 | 4.2 | 9.6 | 54.5 | 53.5 | 55.6 | 2.1 | 8.4 | 17.1 | 15.8 | 18.3 | 2.5 | 2.0 | 12.8 | 12 | 13.5 | 1.5 | 1.7 |\n| Congo, Democratic Republic of | 62.4 | 60 | 64.8 | 4.8 | 10.0 | 54.1 | 52.8 | 55.4 | 2.6 | 8.8 | 16.6 | 15.4 | 17.9 | 2.5 | 1.7 | 12.5 | 11.7 | 13.4 | 1.7 | 1.3 |\n| Equatorial Guinea | 62.2 | 60.9 | 63.6 | 2.7 | 7.9 | 53.9 | 53.4 | 54.1 | 0.7 | 7.1 | 17.6 | 16.5 | 18.8 | 2.3 | 2.1 | 12.9 | 12.3 | 13.6 | 1.3 | 1.7 |\n| Botswana | 62.2 | 58.9 | 65.5 | 6.6 | 16.6 | 53.9 | 51.9 | 55.8 | 3.9 | 13.8 | 16.2 | 14.2 | 18 | 3.8 | 3.3 | 11.8 | 10.3 | 13.1 | 2.8 | 2.4 |\n| Guinea | 61 | 59.5 | 62.3 | 2.8 | 6.7 | 53.3 | 52.9 | 53.7 | 0.8 | 5.8 | 16.5 | 15.6 | 17.2 | 1.6 | 0.8 | 12.3 | 11.8 | 12.6 | 0.8 | 0.6 |\n| Sierra Leone | 60.8 | 59.6 | 61.9 | 2.3 | 12.1 | 52.9 | 52.5 | 53.3 | 0.8 | 10.7 | 17 | 16.4 | 17.4 | 1.0 | 1.6 | 12.6 | 12.4 | 12.8 | 0.4 | 1.3 |\n| Zimbabwe | 60.7 | 57.5 | 63.6 | 6.1 | 14.1 | 53.1 | 51.2 | 54.8 | 3.6 | 12.1 | 15.6 | 13.6 | 17 | 3.4 | 1.2 | 11.5 | 10.2 | 12.4 | 2.2 | 0.9 |\n| Guinea-Bissau | 60.2 | 57.4 | 63 | 5.6 | 9.9 | 52.6 | 51.1 | 54.1 | 3.0 | 8.6 | 15.5 | 13.9 | 16.7 | 2.8 | 1.7 | 11.4 | 10.5 | 12.1 | 1.6 | 1.3 |\n| Chad | 59.6 | 58 | 61.3 | 3.3 | 8.5 | 52 | 51.3 | 52.8 | 1.5 | 7.3 | 16.5 | 15.7 | 17.3 | 1.6 || 12.3 | 11.8 | 12.7 | 0.9 | 1.2 |\n| Kiribati | 59.4 | 56.1 | 62.8 | 6.7 | 3.7 | 52.6 | 50.5 | 54.9 | 4.4 | 3.0 | 13.7 | 12.5 | 14.6 | 2.1 | 1.1 | 10.3 | 9.5 | 11 | 1.5 | 0.7 |\n| Mozambique | 58.1 | 54.5 | 61.7 | 7.2 | 7.4 | 50.4 | 47.9 | 52.8 | 4.9 | 6.8 | 15.8 | 13.3 | 17.8 | 4.5 | 0.6 | 11.6 | 9.8 | 13 | 3.2 | 0.6 |\n| Eswatini | 57.7 | 53.4 | 63.2 | 9.8 | 10.7 | 50.1 | 47.1 | 53.8 | 6.7 | 8.8 | 15.1 | 12.4 | 17.7 | 5.3 | 1.5 | 11 | 9 | 12.9 | 3.9 | 1.1 |\n| Somalia | 56.5 | 54 | 59.2 | 5.2 | 6.6 | 49.7 | 48.3 | 51.3 | 3.0 | 5.7 | 14.5 | 13.2 | 16 | 2.8 | 1.4 | 11.2 | 10.3 | 12.2 | 1.9 | 1.1 |\n| Central African Republic | 53.1 | 50.2 | 56.3 | 6.1 | 8.8 | 46.4 | 44.5 | 48.4 | 3.9 | 7.7 | 13.2 | 11.3 | 14.9 | 3.6 | 1.4 | 10 | 8.6 | 11.1 | 2.5 | 1.1 |\n| Lesotho | 50.7 | 47.7 | 54.2 | 6.5 | 2.9 | 44.2 | 42.3 | 46.4 | 4.1 | 2.2 | 13.4 | 11.2 | 15.2 | 4.0 | β0.5 | 9.8 | 8.3 | 11 | 2.7 | β0.5 |", "structures": []}, {"doc_id": "5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Chile\n\n## Demographics of Chile\nPopulation : 19,493,184\nGrowth rate : 0.61% (2024 est.)\nBirth rate : 12.4 births/1,000 population (2024 est.)\nDeath rate : 6.6 deaths/1,000 population (2023 est.)\nLife expectancy : 80.3 years (2024 est.)\nβ’ male : 77.3 years (2024 est.)\nβ’ female : 83.3 years (2024 est.)\nFertility rate : 1.75 children born/woman (2024 est.)\nInfant mortality rate : 6.3 deaths/1,000 live births (2024 est.)\nNet migration rate : 0.3 migrant(s)/1,000 population (2024 est.)\n\n## Age structure\n0β14 years : 19.2% (male 1,829,801/female 1,758,137) (2024 est.)\n15β64 years : 67.3% (male 6,259,566/female 6,273,074) (2024 est.)\n65 and over : 13.6% (male 1,024,692/female 1,404,187) (2024 est.)\n\n## Sex ratio\nTotal : 0.97 male(s)/female (2024 est.)\nAt birth : 1.04 male(s)/female (2024 est.)\nUnder 15 : 1.04 male(s)/female (2024 est.)\n15β64 years : 1 male(s)/female (2024 est.)\n65 and over : 0.73 male(s)/female (2024 est.)\n\n## Nationality\nNationality : Chilean\nMajor ethnic :\n * * White (N/D) \n * Spanish (N/D)\n * French (N/D)\n * Arab (N/D)\n * English (N/D)\n * Others (N/D)\n * Multiracial (N/D)\nMinor ethnic :\n * * Indigenous (12.44%) \n * Mapuche (9.93%)\n * Aymara (0.89%)\n * Diaguita (0.50%)\n * Others (1.12%)\n * East Asian (N/D) \n * Chinese (N/D)\n * Others (N/D)\n * Black (0.70%) \n * Haitians (0.64%)\n * Others (0.06%)\n\n## Language\nOfficial : Spanish (de facto)\nSpoken : Languages of Chile", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0__chile_demographics_infobox_facts.csv", "format": "csv", "content": "source_doc,section,record_type,category,item,parent_item,value_text,value_num,unit,male_count_int,female_count_int,year_text,estimate_bool,note\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Population,,\"19,493,184\",19493184,population,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Growth rate,,0.61%,0.61,percent,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Birth rate,,12.4 births/1,000 population,12.4,births_per_1000_population,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Death rate,,6.6 deaths/1,000 population,6.6,deaths_per_1000_population,,,2023,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,total,Life expectancy,,80.3 years,80.3,years,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,male,Life expectancy,,77.3 years,77.3,years,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,female,Life expectancy,,83.3 years,83.3,years,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Fertility rate,,1.75 children born/woman,1.75,children_born_per_woman,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Infant mortality rate,,6.3 deaths/1,000 live births,6.3,deaths_per_1000_live_births,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Demographics of Chile,indicator,,Net migration rate,,0.3 migrant(s)/1,000 population,0.3,migrants_per_1000_population,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Age structure,age_group,,0β14 years,,19.2%,19.2,percent,1829801,1758137,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Age structure,age_group,,15β64 years,,67.3%,67.3,percent,6259566,6273074,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Age structure,age_group,,65 and over,,13.6%,13.6,percent,1024692,1404187,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Sex ratio,sex_ratio,,Total,,0.97 male(s)/female,0.97,males_per_female,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Sex ratio,sex_ratio,,At birth,,1.04 male(s)/female,1.04,males_per_female,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Sex ratio,sex_ratio,,Under 15,,1.04 male(s)/female,1.04,males_per_female,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Sex ratio,sex_ratio,,15β64 years,,1 male(s)/female,1,males_per_female,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Sex ratio,sex_ratio,,65 and over,,0.73 male(s)/female,0.73,males_per_female,,,2024,true,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,nationality,,Nationality,,Chilean,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,White,,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,Spanish,White,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,French,White,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,Arab,White,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,English,White,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,Others,White,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Major ethnic,Multiracial,,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Indigenous,,12.44%,12.44,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Mapuche,Indigenous,9.93%,9.93,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Aymara,Indigenous,0.89%,0.89,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Diaguita,Indigenous,0.50%,0.50,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Others,Indigenous,1.12%,1.12,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,East Asian,,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Chinese,East Asian,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Others,East Asian,N/D,,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Black,,0.70%,0.70,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Haitians,Black,0.64%,0.64,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Nationality,ethnic_group,Minor ethnic,Others,Black,0.06%,0.06,percent,,,,,\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Language,language,Official,Spanish,,de facto,,,,,,de facto\n5ZjbxKAjGnttyfQMGJC4hq7wbFvSMw7WrVLHeLfeFs7fDqTD9xajYhxTgShQCk9sYQcT1PuYgoSmUpiuZukMkTvJ__0__infobox__0,Language,language,Spoken,Languages of Chile,,,,,,,,\n"}]}, {"doc_id": "5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6", "is_supporting": true, "n_structures": 1, "contents": "Ecuador\nEcuador >>> Demographics >>> Health\nEcuador currently ranks 20, in most efficient health care countries, compared to 111 back in the year 2000. Ecuadorians have a life expectancy of 77.1 years. The infant mortality rate is 13 per 1,000 live births, a major improvement from approximately 76 in the early 1980s and 140 in 1950. Almost a quarter, or 23%, of children under five are chronically malnourished. Population in some rural areas have no access to potable water, and its supply is provided by mean of water tankers. There are 686 malaria cases per 100,000 people. Basic health care, including doctor's visits, basic surgeries, and basic medications, has been provided free since 2008. However, some public hospitals are in poor condition and often lack necessary supplies to attend the high demand of patients. Private hospitals and clinics are well equipped but still expensive for the majority of the population.", "structures": [{"shape_id": "claim_and_theme_summaries", "description": "Curated claim bundles, thematic summaries, interpretations, notable facts, findings, reception notes, and asserted-property/standout-fact classifications that group entities by a claim rather than by full attribute coverage.", "file": "5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6__ecuador_demographics_health_indicators.jsonl", "format": "jsonl", "content": "{\"entity\":\"Ecuador\",\"claim\":\"health_care_efficiency_rank_current\",\"value\":\"Ranks 20 among most efficient health care countries.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador\",\"claim\":\"health_care_efficiency_rank_2000\",\"value\":\"Ranked 111 in most efficient health care countries in 2000.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuadorians\",\"claim\":\"life_expectancy\",\"value\":\"77.1 years.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador\",\"claim\":\"infant_mortality_rate\",\"value\":\"13 per 1,000 live births, improved from approximately 76 in the early 1980s and 140 in 1950.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuadorian children under five\",\"claim\":\"chronic_malnutrition_rate\",\"value\":\"Almost a quarter, or 23%, are chronically malnourished.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Some rural areas in Ecuador\",\"claim\":\"potable_water_access\",\"value\":\"Population in some rural areas have no access to potable water; supply is provided by water tankers.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador\",\"claim\":\"malaria_rate\",\"value\":\"686 malaria cases per 100,000 people.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador basic health care\",\"claim\":\"free_since\",\"value\":\"Doctor's visits, basic surgeries, and basic medications have been provided free since 2008.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador public hospitals\",\"claim\":\"condition_and_supplies\",\"value\":\"Some are in poor condition and often lack necessary supplies to meet high patient demand.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n{\"entity\":\"Ecuador private hospitals and clinics\",\"claim\":\"equipment_and_cost\",\"value\":\"Well equipped but still expensive for the majority of the population.\",\"source_doc\":\"5qRSqEeCXZNhzvDssh64KSLNht9qnThounYtQqsdSYZHTLRY8kDFvtYrkG51n84vjXRLYuchRN4NWsWdBZpXfr7y__34__paragraph__6\"}\n"}]}, {"doc_id": "6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Guatemala\n\n## Demographics of Guatemala\nPopulation : 18,255,216 (2024 est.)\nGrowth rate : 1.58% (2022 est.)\nBirth rate : 19.5 births/1,000 population (2023 est.)\nDeath rate : 4.91 deaths/1,000 population (2022 est.)\nLife expectancy : 72.91 years\nβ’ male : 70.88 years\nβ’ female : 75.04 years\nFertility rate : 2.20 children born/woman (2023 est.)\nInfant mortality rate : 26.18 deaths/1,000 live births\nNet migration rate : -1.66 migrant(s)/1,000 population (2022 est.)\n\n## Age structure\n0β14 years : 32.74%\n15β64 years : 61.95%\n65 and over : 5.31%\n\n## Sex ratio\nTotal : 0.98 male(s)/female (2022 est.)\nAt birth : 1.05 male(s)/female\nUnder 15 : 1.04 male(s)/female\n65 and over : 0.68 male(s)/female\n\n## Nationality\nNationality : Guatemalan\nMajor ethnic :\n * * Mixed (56.14%) \n * Ladino (56.01%)\n * Garifuna (0.13%)\nMinor ethnic :\n * * Native (43.43%) \n * Maya (41.66%)\n * Xinca (1.77%)\n * Black (0.19%)\n * Others (0.24%)\n\n## Language\nOfficial : Spanish\nSpoken : Languages of Guatemala", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0__demographics_of_guatemala_infobox_records.csv", "format": "csv", "content": "source_doc,category_text,indicator_text,value_text,year_or_estimate_text\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Population,\"18,255,216\",2024 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Growth rate,1.58%,2022 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Birth rate,\"19.5 births/1,000 population\",2023 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Death rate,\"4.91 deaths/1,000 population\",2022 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Life expectancy,72.91 years,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Life expectancy male,70.88 years,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Life expectancy female,75.04 years,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Fertility rate,2.20 children born/woman,2023 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Infant mortality rate,\"26.18 deaths/1,000 live births\",\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Demographics,Net migration rate,\"-1.66 migrant(s)/1,000 population\",2022 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Age structure,0β14 years,32.74%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Age structure,15β64 years,61.95%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Age structure,65 and over,5.31%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Sex ratio,Total,0.98 male(s)/female,2022 est.\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Sex ratio,At birth,1.05 male(s)/female,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Sex ratio,Under 15,1.04 male(s)/female,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Sex ratio,65 and over,0.68 male(s)/female,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Nationality,Nationality,Guatemalan,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Major ethnic,Mixed,56.14%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Major ethnic,Ladino,56.01%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Major ethnic,Garifuna,0.13%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Minor ethnic,Native,43.43%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Minor ethnic,Maya,41.66%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Minor ethnic,Xinca,1.77%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Minor ethnic,Black,0.19%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Minor ethnic,Others,0.24%,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Language,Official,Spanish,\n6F1iPuNgo2Aw7ZJD2ZYcdgRUhtprmHsKtcaFwAudkKL8QgKmDmPekzhEPDbFkyK9PLaSgwbHA5UqVFqYmYnDR9x__0__infobox__0,Language,Spoken,Languages of Guatemala,\n"}]}, {"doc_id": "3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Cuba\n\n## Demographics of Cuba\nPopulation : 10 055 968 (2023)\nDensity :\n237 hab./sq mi \n91.5 hab./sq km (2023)\nGrowth rate : β0.79% (2002-2022)\nBirth rate : 8.6/1,000 inhabitants (2022 est.)\nDeath rate : 10.8 deaths/1,000 inhabitants (2022 est.)\nLife expectancy : 78.0 years (2013 est.)\nβ’ male : 75.8 years (2013 est.)\nβ’ female : 80.4 years (2013 est.)\nFertility rate : 1.41 children/women (2022 est.)\nInfant mortality rate : 4.76 deaths/1000 live births (2013 est.)\n\n## Age structure\n0β14 years : 15.74% (2021 est.)\n15β64 years : 68.53% (2021 est.)\n65 and over : 15.73% (2021 est.)\n\n## Sex ratio\nTotal : 0.99 (2013 est.)\nAt birth : 1.06 (2013 est.)\nUnder 15 : 1.06 (2013 est.)\n15β64 years : 1.01 (2013 est.)\n65 and over : 0.82 (2013 est.)\n\n## Nationality\nNationality : Cuban\nMajor ethnic :\n * * White (64.12%) \n * Spanish (N/D)\n * Others (N/D)\nMinor ethnic :\n * * Mixed (26.62%)\n * Black (9.26%)\n\n## Language\nOfficial : Spanish\nSpoken : LucumΓ", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0__cuba_demographics_infobox_metrics.csv", "format": "csv", "content": "source_doc,category_text,metric_text,value_text,year_or_estimate_text\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Population,10 055 968,2023\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Density,237 hab./sq mi,2023\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Density,91.5 hab./sq km,2023\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Growth rate,β0.79%,2002-2022\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Birth rate,\"8.6/1,000 inhabitants\",2022 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Death rate,\"10.8 deaths/1,000 inhabitants\",2022 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Life expectancy,78.0 years,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Life expectancy male,75.8 years,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Life expectancy female,80.4 years,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Fertility rate,1.41 children/women,2022 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Demographics,Infant mortality rate,4.76 deaths/1000 live births,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Age structure,0β14 years,15.74%,2021 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Age structure,15β64 years,68.53%,2021 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Age structure,65 and over,15.73%,2021 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Sex ratio,Total,0.99,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Sex ratio,At birth,1.06,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Sex ratio,Under 15,1.06,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Sex ratio,15β64 years,1.01,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Sex ratio,65 and over,0.82,2013 est.\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Nationality,Nationality,Cuban,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Major ethnic,White,64.12%,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Major ethnic,Spanish,N/D,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Major ethnic,Others,N/D,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Minor ethnic,Mixed,26.62%,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Minor ethnic,Black,9.26%,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Language,Official,Spanish,\n3Eizuc88PeTJmXh3amJAaZaxEo22LBjxNncLpn33Wci5yWWQzDa2GA1FCW2iTssnJXC7Kp5CF17CZPc7S7F5wCtb__0__infobox__0,Language,Spoken,LucumΓ,\n"}]}, {"doc_id": "5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Haiti\n\n## Demographics of Haiti\nPopulation : 8,812,245 (Last census)\nBirth rate : 21.12 births/1,000 population (2022 est.)\nDeath rate : 7.23 deaths/1,000 population (2022 est.)\nLife expectancy : 65.95 years\nβ’ male : 63.26 years\nβ’ female : 68.67 years\nFertility rate : 2.43 children born/woman (2022 est.)\nInfant mortality rate : 40.02 deaths/1,000 live births\nNet migration rate : -1.88 migrant(s)/1,000 population (2022 est.)\n\n## Age structure\n0β14 years : 32.78%\n15β64 years : 62.49%\n65 and over : 4.73%\n\n## Sex ratio\nTotal : 0.97 male(s)/female (2022 est.)\nAt birth : 1.01 male(s)/female\nUnder 15 : 0.99 male(s)/female\n65 and over : 0.62 male(s)/female\n\n## Nationality\nNationality : Haitian\nMajor ethnic : Blacks (95%)\nMinor ethnic : * * Mulattos and Whites (5%)\n\n## Language\nOfficial : French Β· Haitian Creole", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0__demographics_of_haiti_infobox_metrics.csv", "format": "csv", "content": "source_doc,category_text,metric_text,value_text,year_or_estimate_text\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Population,Population,\"8,812,245\",Last census\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Birth rate,\"21.12 births/1,000 population\",2022 est.\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Death rate,\"7.23 deaths/1,000 population\",2022 est.\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Life expectancy,65.95 years,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Life expectancy male,63.26 years,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Life expectancy female,68.67 years,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Fertility rate,2.43 children born/woman,2022 est.\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Infant mortality rate,\"40.02 deaths/1,000 live births\",\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Vital statistics,Net migration rate,\"-1.88 migrant(s)/1,000 population\",2022 est.\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Age structure,0β14 years,32.78%,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Age structure,15β64 years,62.49%,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Age structure,65 and over,4.73%,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Sex ratio,Total,0.97 male(s)/female,2022 est.\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Sex ratio,At birth,1.01 male(s)/female,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Sex ratio,Under 15,0.99 male(s)/female,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Sex ratio,65 and over,0.62 male(s)/female,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Nationality,Nationality,Haitian,\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Ethnicity,Major ethnic,Blacks (95%),\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Ethnicity,Minor ethnic,Mulattos and Whites (5%),\n5LcBdvUrJharzsAucjqdomHViuTwoiHx9ZtRpJvNV54aWEHihBmkEjQfqi58KERGSYKnmPGCCLGhYuHCbcnrh9p6__0__infobox__0,Language,Official,French Β· Haitian Creole,\n"}]}, {"doc_id": "5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Bolivia\n\n## Demographics of Bolivia\nPopulation : 11,312,620 (2024 census)\nDensity : 11.36/km2 (2024 est.)\nGrowth rate : 1.2% (2022 est.)\nBirth rate : 16.7 per 1,000 pop. (2023 est.)\nDeath rate : 4.6 per 1,000 pop. (2023 est.)\nLife expectancy : 68.87 years (2014)\nβ’ male : 65.4 years (2013)\nβ’ female : 71.1 years (2013)\nFertility rate : 2.24 children born/woman (2023 est.)\nInfant mortality rate : 39.7 deaths/1,000 live births (2013)\nNet migration rate : -1.00 migrant(s)/1,000 population\n\n## Age structure\n0β14 years : 30.30% (2024 est.)\n15β64 years : 64.77% (2024 est.)\n65 and over : 4.93% (2024 est.)\n\n## Sex ratio\nTotal : 0.99 male/female (2012)\nUnder 15 : 1.05 male/female (2012)\n15β64 years : 0.96 male/female (2012)\n65 and over : 0.88 male/female (2012)\n\n## Nationality\nNationality : Bolivian\nMajor ethnic : * * Mixed (N/D)\nMinor ethnic :\n * * Native (41.52%) \n * Quechua (18.26%)\n * Aymara (15.89%)\n * Chiquitano (1.45%)\n * GuaranΓ (0.96%)\n * Others (4.96%)\n * White (N/D) \n * Spanish (N/D)\n * German (N/D)\n * Italian (N/D)\n * Others (N/D)\n * Black (0.23%)\n * Others (N/D)\n\n## Language\nOfficial :\nSpanish (44.89%) \nQuechua (25.08%) \nAymara (16.77%) \nGuarani (0.69%) \n34 other native languages\nSpoken : Languages of Bolivia", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0__bolivia_demographic_indicators.csv", "format": "csv", "content": "source_doc,category_text,indicator_text,value_text,date_or_estimate_text\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,population,\"11,312,620\",2024 census\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,density,11.36/km2,2024 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,growth rate,1.2%,2022 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,birth rate,\"16.7 per 1,000 pop.\",2023 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,death rate,\"4.6 per 1,000 pop.\",2023 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,life expectancy,68.87 years,2014\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,male life expectancy,65.4 years,2013\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,female life expectancy,71.1 years,2013\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,fertility rate,2.24 children born/woman,2023 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,infant mortality rate,\"39.7 deaths/1,000 live births\",2013\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,demographics,net migration rate,\"-1.00 migrant(s)/1,000 population\",\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,age structure,0β14 years,30.30%,2024 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,age structure,15β64 years,64.77%,2024 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,age structure,65 and over,4.93%,2024 est.\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,sex ratio,total,0.99 male/female,2012\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,sex ratio,under 15,1.05 male/female,2012\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,sex ratio,15β64 years,0.96 male/female,2012\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,sex ratio,65 and over,0.88 male/female,2012\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,nationality,nationality,Bolivian,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,major ethnic,Mixed,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Native,41.52%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Quechua,18.26%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Aymara,15.89%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Chiquitano,1.45%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,GuaranΓ,0.96%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Others,4.96%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,White,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Spanish,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,German,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Italian,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Others,N/D,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,minor ethnic,Black,0.23%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,official language,Spanish,44.89%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,official language,Quechua,25.08%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,official language,Aymara,16.77%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,official language,Guarani,0.69%,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,official language,34 other native languages,,\n5B5tbn4ceuYwCBnRuoC11kyMktm4kgZfJeDa3bxDfUEETHAUdV7R7Qzyi7qPNwXBnqBnfMdLdLE5Z4JvGjYZ49zc__0__infobox__0,spoken language,Languages of Bolivia,,\n"}]}, {"doc_id": "HEN1YZPLySNxkMa6a2sbh8f1dRX6HscMPWEXhmAM5BpgZtKBMTixNxXXH4fqiZKuhsKPN9J24XGpM5Qwtx6nS1T__0__paragraph__1", "is_supporting": true, "n_structures": 1, "contents": "Health in the Dominican Republic\nLife expectancy in the Dominican Republic was 71 years for men and 77 years for women in 2016.", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "HEN1YZPLySNxkMa6a2sbh8f1dRX6HscMPWEXhmAM5BpgZtKBMTixNxXXH4fqiZKuhsKPN9J24XGpM5Qwtx6nS1T__0__paragraph__1__dominican_republic_life_expectancy_2016.csv", "format": "csv", "content": "source_doc,country,year_int,sex,life_expectancy_years_int\nHEN1YZPLySNxkMa6a2sbh8f1dRX6HscMPWEXhmAM5BpgZtKBMTixNxXXH4fqiZKuhsKPN9J24XGpM5Qwtx6nS1T__0__paragraph__1,Dominican Republic,2016,men,71\nHEN1YZPLySNxkMa6a2sbh8f1dRX6HscMPWEXhmAM5BpgZtKBMTixNxXXH4fqiZKuhsKPN9J24XGpM5Qwtx6nS1T__0__paragraph__1,Dominican Republic,2016,women,77\n"}]}, {"doc_id": "2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Honduras\n\n## Demographics of Honduras\nPopulation : 9,459,440 (2022 est.)\nGrowth rate : 1.19% (2022 est.)\nBirth rate : 17.92 births/1,000 population (2022 est.)\nDeath rate : 4.68 deaths/1,000 population (2022 est.)\nLife expectancy : 75.17 years\nβ’ male : 71.63 years\nβ’ female : 78.82 years\nFertility rate : 2.01 children born/woman (2022 est.)\nInfant mortality rate : 15.08 deaths/1,000 live births\nNet migration rate : -1.34 migrant(s)/1,000 population (2022 est.)\n\n## Age structure\n0β14 years : 30.90%\n15β64 years : 63.20%\n65 and over : 5.90%\n\n## Sex ratio\nTotal : 0.95 male(s)/female (2022 est.)\nAt birth : 1.03 male(s)/female\nUnder 15 : 1.03 male(s)/female\n65 and over : 0.71 male(s)/female\n\n## Nationality\nNationality : Honduran\nMajor ethnic :\n * * Multiracial (83.45%) \n * Mestizos (82.93%)\n * Garifunas (0.52%)\n * Mulattos (0.22%)\nMinor ethnic :\n * * Whites (7.87%)\n * Indigenous (7.25%) \n * Lencas (5.46%)\n * Miskitos (0.96%)\n * ChΚΌortiΚΌ (0.40%)\n * Others (0.43%)\n * Blacks (0.65%)\n * Other groups (0.55%)\n\n## Language\nOfficial : Spanish\nSpoken : Languages of Honduras", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0__demographics_of_honduras_infobox_values.csv", "format": "csv", "content": "source_doc,section_text,parent_group_text,measure_text,value_text,percent_float,estimate_year_text\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Population,\"9,459,440\",,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Growth rate,1.19%,1.19,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Birth rate,\"17.92 births/1,000 population\",,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Death rate,\"4.68 deaths/1,000 population\",,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Life expectancy,75.17 years,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,Life expectancy,male,71.63 years,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,Life expectancy,female,78.82 years,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Fertility rate,2.01 children born/woman,,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Infant mortality rate,\"15.08 deaths/1,000 live births\",,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Demographics,,Net migration rate,\"-1.34 migrant(s)/1,000 population\",,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Age structure,,0β14 years,30.90%,30.90,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Age structure,,15β64 years,63.20%,63.20,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Age structure,,65 and over,5.90%,5.90,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Sex ratio,,Total,0.95 male(s)/female,,2022 est.\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Sex ratio,,At birth,1.03 male(s)/female,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Sex ratio,,Under 15,1.03 male(s)/female,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Sex ratio,,65 and over,0.71 male(s)/female,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Nationality,,Nationality,Honduran,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Major ethnic,Multiracial,83.45%,83.45,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Multiracial,Mestizos,82.93%,82.93,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Multiracial,Garifunas,0.52%,0.52,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Multiracial,Mulattos,0.22%,0.22,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Minor ethnic,Whites,7.87%,7.87,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Minor ethnic,Indigenous,7.25%,7.25,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Indigenous,Lencas,5.46%,5.46,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Indigenous,Miskitos,0.96%,0.96,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Indigenous,ChΚΌortiΚΌ,0.40%,0.40,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Indigenous,Others,0.43%,0.43,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Minor ethnic,Blacks,0.65%,0.65,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Ethnicity,Minor ethnic,Other groups,0.55%,0.55,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Language,Official,Language,Spanish,,\n2yfQJAir3vdqhhuLUp6cXZpi8tS3a1PaAm1gTwnxWstrYJGD3vSsGXDAve7VekxD2p2KfWbBZFXVJuD8dcziJ1d7__0__infobox__0,Language,Spoken,Language,Languages of Honduras,,\n"}]}, {"doc_id": "43GPsRa2vetqnmph28jkZfApEX14nhU1DbVg32SqaeDrdMVrTDpWj1WBCzf1eh2mVv1XNCBVPG2h3DFuWnWqrUdC__6__table__0", "is_supporting": true, "n_structures": 0, "contents": "List of countries by life expectancy\nList of countries by life expectancy >>> World Bank Group (2022)\n# World Bank Group (2022)\n---\n| ('Countries and territories', 'Countries and territories') | ('2022', 'All') | ('2022', 'Male') | ('2022', 'Female') | ('2022', 'Sex gap') | ('Historical data', '2014') | ('Historical data', '2014 β2019') | ('Historical data', '2019') | ('Historical data', '2019 β2020') | ('Historical data', '2020') | ('Historical data', '2020 β2021') | ('Historical data', '2021') | ('Historical data', '2021 β2022') | ('Historical data', '2022') | ('recovery from COVID-19: 2019β2022', 'recovery from COVID-19: 2019β2022') |\n|:---|:---|:---|:---|:---|:---|:---|:---|:---|:---|:---|---:|:---|:---|:---|\n| Macao SAR, China | 85.38 | 82.75 | 87.98 | 5.23 | 83.88 | 1.09 | 84.98 | 0.21 | 85.18 | 0.22 | 85.4 | β0.02 | 85.38 | 0.40 |\n| Japan | 84.00 | 81.05 | 87.09 | 6.04 | 83.59 | 0.77 | 84.36 | 0.20 | 84.56 | β0.11 | 84.45 | β0.45 | 84.00 | β0.36 |\n| Hong Kong SAR, China | 83.66 | 80.70 | 86.77 | 6.07 | 83.94 | 1.22 | 85.16 | 0.34 | 85.50 | 0.04 | 85.53 | β1.87 | 83.66 | β1.49 |\n| French Polynesia | 83.55 | 81.33 | 85.98 | 4.65 | 82.21 | 0.78 | 83.00 | β0.78 | 82.22 | β2.73 | 79.49 | 4.06 | 83.55 | 0.55 |\n| Switzerland | 83.45 | 81.60 | 85.40 | 3.80 | 83.20 | 0.71 | 83.90 | β0.90 | 83.00 | 0.75 | 83.75 | β0.30 | 83.45 | β0.45 |\n| Faroe Islands | 83.30 | 81.30 | 85.40 | 4.10 | 81.59 | 1.05 | 82.65 | 0.25 | 82.90 | 0.20 | 83.1 | 0.20 | 83.30 | 0.65 |\n| Australia | 83.20 | 81.20 | 85.30 | 4.10 | 82.30 | 0.60 | 82.90 | 0.30 | 83.20 | 0.10 | 83.3 | β0.10 | 83.20 | 0.30 |\n| Sweden | 83.11 | 81.50 | 84.80 | 3.30 | 82.25 | 0.86 | 83.11 | β0.75 | 82.36 | 0.70 | 83.06 | 0.05 | 83.11 | 0.00 |\n| Spain | 83.08 | 80.40 | 85.90 | 5.50 | 83.23 | 0.60 | 83.83 | β1.50 | 82.33 | 0.90 | 83.23 | β0.15 | 83.08 | β0.75 |\n| Ireland | 83.06 | 81.30 | 84.90 | 3.60 | 81.35 | 1.35 | 82.70 | β0.15 | 82.56 | β0.20 | 82.35 | 0.70 | 83.06 | 0.35 |\n| Luxembourg | 83.05 | 80.90 | 85.30 | 4.40 | 82.23 | 0.41 | 82.64 | β0.50 | 82.14 | 0.45 | 82.6 | 0.45 | 83.05 | 0.41 |\n| Italy | 82.90 | 80.90 | 85.00 | 4.10 | 83.09 | 0.41 | 83.50 | β1.30 | 82.20 | 0.45 | 82.65 | 0.25 | 82.90 | β0.60 |\n| Singapore | 82.90 | 80.70 | 85.20 | 4.50 | 82.50 | 1.10 | 83.60 | β0.05 | 83.54 | β0.45 | 83.09 | β0.20 | 82.90 | β0.70 |\n| New Zealand | 82.76 | 81.20 | 84.40 | 3.20 | 81.46 | 0.60 | 82.06 | 0.20 | 82.26 | β0.05 | 82.21 | 0.55 | 82.76 | 0.70 |\n| Israel | 82.70 | 80.70 | 84.80 | 4.10 | 82.15 | 0.65 | 82.80 | β0.16 | 82.65 | β0.15 | 82.5 | 0.20 | 82.70 | β0.10 |\n| Malta | 82.70 | 80.70 | 84.80 | 4.10 | 82.05 | 0.81 | 82.86 | β0.51 | 82.35 | 0.16 | 82.51 | 0.19 | 82.70 | β0.16 |\n| South Korea | 82.68 | 79.90 | 85.60 | 5.70 | 81.72 | 1.50 | 83.23 | 0.20 | 83.43 | 0.10 | 83.53 | β0.85 | 82.68 | β0.55 |\n| Norway | 82.56 | 81.00 | 84.20 | 3.20 | 82.10 | 0.86 | 82.96 | 0.25 | 83.21 | β0.05 | 83.16 | β0.60 | 82.56 | β0.40 |\n| France | 82.23 | 79.40 | 85.20 | 5.80 | 82.72 | 0.11 | 82.83 | β0.65 | 82.18 | 0.15 | 82.32 | β0.10 | 82.23 | β0.60 |\n| Iceland | 82.17 | 81.00 | 83.40 | 2.40 | 82.86 | 0.30 | 83.16 | β0.10 | 83.06 | 0.10 | 83.17 | β1.00 | 82.17 | β0.99 |\n| United Kingdom | 82.06 | 80.40 | 83.80 | 3.40 | 81.30 | 0.10 | 81.40 | β1.05 | 80.35 | 0.35 | 80.7 | 1.36 | 82.06 | 0.65 |\n| Cyprus | 81.89 | 80.07 | 83.67 | 3.61 | 80.77 | 0.63 | 81.40 | β0.01 | 81.39 | β0.19 | 81.2 | 0.69 | 81.89 | 0.49 |\n| Netherlands | 81.71 | 80.30 | 83.20 | 2.90 | 81.71 | 0.40 | 82.11 | β0.75 | 81.36 | β0.05 | 81.31 | 0.40 | 81.71 | β0.40 |\n| Belgium | 81.70 | 79.60 | 83.90 | 4.30 | 81.29 | 0.71 | 82.00 | β1.30 | 80.70 | 1.10 | 81.79 | β0.09 | 81.70 | β0.30 |\n| Channel Islands | 81.58 | 79.52 | 83.64 | 4.11 | 81.88 | β0.49 | 81.39 | β0.13 | 81.26 | β0.03 | 81.23 | 0.35 | 81.58 | 0.19 |\n| Portugal | 81.58 | 78.80 | 84.50 | 5.70 | 81.12 | 0.55 | 81.68 | β0.70 | 80.98 | 0.40 | 81.38 | 0.20 | 81.58 | β0.10 |\n| Bermuda | 81.57 | 78.44 | 84.51 | 6.07 | 79.52 | 1.52 | 81.03 | 0.10 | 81.14 | β1.86 | 79.28 | 2.29 | 81.57 | 0.54 |\n| Qatar | 81.56 | 80.63 | 83.10 | 2.47 | 79.77 | 1.22 | 80.99 | β1.89 | 79.10 | 0.17 | 79.27 | 2.29 | 81.56 | 0.57 |\n| Denmark | 81.30 | 79.50 | 83.20 | 3.70 | 80.70 | 0.75 | 81.45 | 0.15 | 81.60 | β0.20 | 81.4 | β0.10 | 81.30 | β0.15 |\n| Canada | 81.30 | 79.12 | 83.58 | 4.46 | 81.78 | 0.44 | 82.22 | β0.56 | 81.66 | β0.07 | 81.59 | β0.29 | 81.30 | β0.93 |\n| Slovenia | 81.28 | 78.60 | 84.10 | 5.50 | 81.08 | 0.45 | 81.53 | β1.00 | 80.53 | 0.14 | 80.68 | 0.61 | 81.28 | β0.25 |\n| Finland | 81.19 | 78.70 | 83.80 | 5.10 | 81.18 | 0.80 | 81.98 | β0.05 | 81.93 | β0.05 | 81.89 | β0.70 | 81.19 | β0.80 |\n| Austria | 81.09 | 78.80 | 83.50 | 4.70 | 81.49 | 0.40 | 81.90 | β0.70 | 81.19 | 0.00 | 81.19 | β0.10 | 81.09 | β0.80 |\n| New Caledonia | 80.98 | 77.53 | 84.61 | 7.09 | 77.24 | 3.18 | 80.42 | 0.42 | 80.83 | β1.71 | 79.13 | 1.85 | 80.98 | 0.56 |\n| Maldives | 80.84 | 80.06 | 81.84 | 1.78 | 79.42 | 0.69 | 80.12 | β0.24 | 79.88 | 0.04 | 79.92 | 0.92 | 80.84 | 0.72 |\n| Isle of Man | 80.76 | 78.83 | 82.73 | 3.90 | 80.04 | 0.70 | 80.74 | β0.15 | 80.59 | β0.06 | 80.53 | 0.24 | 80.76 | 0.03 |\n| Germany | 80.71 | 78.33 | 83.20 | 4.87 | 81.09 | 0.20 | 81.29 | β0.25 | 81.04 | β0.25 | 80.79 | β0.08 | 80.71 | β0.59 |\n| Greece | 80.64 | 78.10 | 83.30 | 5.20 | 81.39 | 0.25 | 81.64 | β0.35 | 81.29 | β1.20 | 80.08 | 0.55 | 80.64 | β1.00 |\n| Virgin Islands (U.S.) | 80.32 | 77.10 | 83.70 | 6.60 | 78.87 | 0.80 | 79.67 | 0.15 | 79.82 | 0.25 | 80.07 | 0.25 | 80.32 | 0.65 |\n| Kuwait | 80.26 | 78.88 | 82.75 | 3.87 | 79.44 | 0.24 | 79.69 | β2.77 | 76.92 | 1.75 | 78.67 | 1.59 | 80.26 | 0.58 |\n| Puerto Rico | 79.72 | 75.58 | 83.90 | 8.32 | 78.93 | 0.13 | 79.06 | β1.02 | 78.04 | 2.12 | 80.16 | β0.44 | 79.72 | 0.66 |\n| Thailand | 79.68 | 75.47 | 83.93 | 8.46 | 77.42 | 1.56 | 78.97 | 0.30 | 79.27 | β0.56 | 78.72 | 0.97 | 79.68 | 0.71 |\n| Chile | 79.52 | 77.16 | 81.88 | 4.72 | 79.47 | 0.85 | 80.33 | β0.95 | 79.38 | β0.43 | 78.94 | 0.58 | 79.52 | β0.81 |\n| Bahrain | 79.25 | 78.24 | 80.50 | 2.25 | 79.33 | 0.69 | 80.02 | β0.84 | 79.17 | β0.41 | 78.76 | 0.49 | 79.25 | β0.77 |\n| Antigua and Barbuda | 79.24 | 76.51 | 81.64 | 5.14 | 77.86 | 0.83 | 78.69 | 0.15 | 78.84 | β0.34 | 78.5 | 0.74 | 79.24 | 0.55 |\n| United Arab Emirates | 79.20 | 77.72 | 81.41 | 3.69 | 79.04 | 0.68 | 79.73 | β0.78 | 78.95 | β0.24 | 78.71 | 0.49 | 79.20 | β0.53 |\n| Czechia | 79.03 | 76.20 | 82.00 | 5.80 | 78.82 | 0.40 | 79.23 | β1.05 | 78.18 | β0.95 | 77.22 | 1.81 | 79.03 | β0.20 |\n| China | 78.59 | 75.96 | 81.34 | 5.38 | 76.72 | 1.25 | 77.97 | 0.11 | 78.08 | 0.13 | 78.21 | 0.38 | 78.59 | 0.62 |\n| Turkey | 78.47 | 75.38 | 81.50 | 6.12 | 76.56 | 1.27 | 77.83 | β1.98 | 75.85 | 0.18 | 76.03 | 2.44 | 78.47 | 0.64 |\n| Guam | 78.33 | 74.84 | 82.05 | 7.21 | 76.75 | 0.97 | 77.72 | β1.11 | 76.61 | 0.04 | 76.66 | 1.67 | 78.33 | 0.61 |\n| Cuba | 78.16 | 75.79 | 80.56 | 4.77 | 77.85 | β0.24 | 77.61 | β0.04 | 77.57 | β3.88 | 73.68 | 4.47 | 78.16 | 0.54 |\n| Uruguay | 78.00 | 74.15 | 81.69 | 7.54 | 77.37 | 0.14 | 77.51 | 0.92 | 78.43 | β2.99 | 75.44 | 2.56 | 78.00 | 0.49 |\n| Estonia | 77.94 | 73.70 | 82.40 | 8.70 | 77.03 | 1.61 | 78.65 | β0.05 | 78.60 | β1.65 | 76.94 | 1.00 | 77.94 | β0.70 |\n| Saudi Arabia | 77.91 | 76.67 | 79.53 | 2.86 | 76.76 | 0.55 | 77.30 | β1.06 | 76.24 | 0.70 | 76.94 | 0.97 | 77.91 | 0.60 |\n| Ecuador | 77.89 | 75.31 | 80.48 | 5.17 | 76.62 | 0.67 | 77.30 | β5.14 | 72.15 | 1.52 | 73.67 | 4.22 | 77.89 | 0.60 |\n| Barbados | 77.71 | 75.68 | 79.58 | 3.90 | 76.48 | 0.78 | 77.26 | 0.14 | 77.39 | 0.18 | 77.57 | 0.14 | 77.71 | 0.45 |\n| Croatia | 77.58 | 74.60 | 80.70 | 6.10 | 77.48 | 0.95 | 78.42 | β0.70 | 77.72 | β1.30 | 76.42 | 1.15 | 77.58 | β0.85 |\n| USA | 77.43 | 74.80 | 80.20 | 5.40 | 78.84 | β0.05 | 78.79 | β1.81 | 76.98 | β0.65 | 76.33 | 1.10 | 77.43 | β1.35 |\n| Costa Rica | 77.32 | 74.76 | 80.04 | 5.27 | 78.77 | 0.65 | 79.43 | β0.15 | 79.28 | β2.25 | 77.02 | 0.30 | 77.32 | β2.11 |\n| Poland | 77.30 | 73.50 | 81.30 | 7.80 | 77.60 | 0.30 | 77.90 | β1.40 | 76.50 | β1.00 | 75.5 | 1.80 | 77.30 | β0.60 |\n| Algeria | 77.13 | 75.85 | 78.46 | 2.60 | 75.11 | 1.36 | 76.47 | β2.02 | 74.45 | 1.92 | 76.38 | 0.75 | 77.13 | 0.66 |\n| Slovakia | 77.07 | 73.70 | 80.60 | 6.90 | 76.81 | 0.85 | 77.67 | β0.80 | 76.87 | β2.25 | 74.61 | 2.45 | 77.07 | β0.60 |\n| Albania | 76.83 | 74.50 | 79.47 | 4.97 | 78.41 | 0.88 | 79.28 | β2.29 | 76.99 | β0.53 | 76.46 | 0.37 | 76.83 | β2.45 |\n| Panama | 76.83 | 73.73 | 80.09 | 6.36 | 77.25 | 0.56 | 77.81 | β1.15 | 76.66 | β0.43 | 76.22 | 0.60 | 76.83 | β0.98 |\n| Sri Lanka | 76.61 | 72.85 | 80.23 | 7.38 | 74.65 | 1.36 | 76.01 | 0.39 | 76.39 | 0.01 | 76.4 | 0.21 | 76.61 | 0.60 |\n| Malaysia | 76.26 | 73.95 | 78.80 | 4.84 | 75.15 | 0.61 | 75.76 | 0.18 | 75.94 | β1.05 | 74.88 | 1.38 | 76.26 | 0.50 |\n| Montenegro | 76.19 | 73.70 | 78.80 | 5.10 | 76.44 | 0.24 | 76.68 | β0.75 | 75.93 | β2.11 | 73.82 | 2.36 | 76.19 | β0.50 |\n| Argentina | 76.06 | 72.85 | 79.28 | 6.43 | 76.75 | 0.53 | 77.28 | β1.39 | 75.89 | β0.50 | 75.39 | 0.67 | 76.06 | β1.22 |\n| Hungary | 76.02 | 72.70 | 79.50 | 6.80 | 75.76 | 0.56 | 76.32 | β0.75 | 75.57 | β1.40 | 74.16 | 1.85 | 76.02 | β0.30 |\n| Lithuania | 75.79 | 71.50 | 80.30 | 8.80 | 74.52 | 1.77 | 76.28 | β1.30 | 74.98 | β0.94 | 74.04 | 1.76 | 75.79 | β0.49 |\n| Serbia | 75.48 | 72.97 | 78.12 | 5.15 | 75.34 | 0.60 | 75.94 | β1.46 | 74.48 | β1.70 | 72.78 | 2.70 | 75.48 | β0.45 |\n| Grenada | 75.33 | 72.59 | 78.30 | 5.71 | 74.98 | β0.12 | 74.86 | 0.06 | 74.92 | 0.01 | 74.94 | 0.40 | 75.33 | 0.47 |\n| Romania | 75.30 | 71.50 | 79.30 | 7.80 | 74.91 | 0.70 | 75.61 | β1.35 | 74.25 | β1.44 | 72.81 | 2.50 | 75.30 | β0.30 |\n| Bosnia and Herzegovina | 75.29 | 73.13 | 77.50 | 4.37 | 75.66 | 1.58 | 77.24 | β1.02 | 76.22 | β0.92 | 75.3 | β0.01 | 75.29 | β1.95 |\n| Aruba | 74.99 | 72.14 | 77.68 | 5.54 | 75.60 | 0.65 | 76.25 | β0.53 | 75.72 | β1.10 | 74.63 | 0.37 | 74.99 | β1.26 |\n| Morocco | 74.97 | 72.90 | 77.18 | 4.28 | 72.54 | 1.73 | 74.27 | β0.35 | 73.92 | 0.12 | 74.04 | 0.93 | 74.97 | 0.70 |\n| Mexico | 74.83 | 71.55 | 78.16 | 6.61 | 74.80 | β0.59 | 74.20 | β4.07 | 70.13 | 0.08 | 70.21 | 4.62 | 74.83 | 0.63 |\n| Cabo Verde | 74.72 | 70.29 | 79.01 | 8.72 | 75.24 | 0.76 | 76.00 | β1.20 | 74.81 | β0.76 | 74.05 | 0.67 | 74.72 | β1.28 |\n| Trinidad and Tobago | 74.71 | 71.31 | 78.15 | 6.85 | 74.22 | 0.01 | 74.23 | 0.18 | 74.41 | β1.44 | 72.97 | 1.74 | 74.71 | 0.48 |\n| Nicaragua | 74.61 | 71.61 | 77.56 | 5.94 | 72.81 | 1.24 | 74.05 | β2.26 | 71.80 | 2.04 | 73.84 | 0.78 | 74.61 | 0.56 |\n| Latvia | 74.58 | 69.80 | 79.60 | 9.80 | 74.12 | 1.26 | 75.39 | β0.20 | 75.19 | β2.20 | 72.98 | 1.60 | 74.58 | β0.81 |\n| Vietnam | 74.58 | 69.93 | 79.29 | 9.36 | 73.86 | 0.24 | 74.09 | 1.28 | 75.38 | β1.76 | 73.62 | 0.96 | 74.58 | 0.49 |\n| Iran | 74.56 | 71.93 | 77.45 | 5.52 | 74.78 | 1.32 | 76.10 | β1.27 | 74.83 | β0.96 | 73.88 | 0.68 | 74.56 | β1.55 |\n| Brunei | 74.55 | 72.51 | 76.79 | 4.28 | 74.78 | β0.03 | 74.75 | 0.05 | 74.80 | β0.15 | 74.64 | β0.09 | 74.55 | β0.20 |\n| Kazakhstan | 74.44 | 70.26 | 78.41 | 8.15 | 71.44 | 1.74 | 73.18 | β1.81 | 71.37 | β1.14 | 70.23 | 4.21 | 74.44 | 1.26 |\n| North Macedonia | 74.42 | 72.22 | 76.74 | 4.52 | 75.45 | 1.15 | 76.60 | β2.21 | 74.40 | β1.15 | 73.25 | 1.18 | 74.42 | β2.18 |\n| Lebanon | 74.42 | 72.24 | 76.60 | 4.36 | 78.97 | 0.26 | 79.24 | β1.43 | 77.80 | β2.76 | 75.05 | β0.63 | 74.42 | β4.82 |\n| Bulgaria | 74.36 | 70.80 | 78.10 | 7.30 | 74.47 | 0.65 | 75.11 | β1.45 | 73.66 | β2.20 | 71.46 | 2.90 | 74.36 | β0.75 |\n| Bahamas | 74.36 | 70.76 | 77.84 | 7.09 | 73.37 | β2.16 | 71.20 | 1.47 | 72.68 | β1.08 | 71.6 | 2.76 | 74.36 | 3.15 |\n| Tunisia | 74.26 | 71.37 | 77.41 | 6.04 | 75.65 | 0.34 | 75.99 | β0.70 | 75.29 | β1.52 | 73.77 | 0.49 | 74.26 | β1.73 |\n| Jordan | 74.22 | 72.12 | 76.67 | 4.55 | 74.79 | 1.25 | 76.04 | β0.86 | 75.18 | β0.93 | 74.26 | β0.04 | 74.22 | β1.83 |\n| Dominican Republic | 74.17 | 71.04 | 77.54 | 6.49 | 72.87 | 0.71 | 73.58 | β0.69 | 72.89 | β0.27 | 72.61 | 1.56 | 74.17 | 0.59 |\n| Oman | 73.94 | 72.36 | 76.05 | 3.69 | 77.45 | 0.56 | 78.00 | β3.24 | 74.76 | β2.22 | 72.54 | 1.39 | 73.94 | β4.07 |\n| Seychelles | 73.85 | 71.80 | 76.00 | 4.20 | 73.23 | 0.82 | 74.05 | 3.19 | 77.24 | β3.84 | 73.4 | 0.45 | 73.85 | β0.20 |\n| Bangladesh | 73.70 | 71.51 | 76.01 | 4.50 | 69.99 | 2.82 | 72.81 | β0.84 | 71.97 | 0.41 | 72.38 | 1.32 | 73.70 | 0.89 |\n| Colombia | 73.66 | 70.32 | 77.14 | 6.82 | 76.04 | 0.71 | 76.75 | β1.98 | 74.77 | β1.94 | 72.83 | 0.83 | 73.66 | β3.09 |\n| North Korea | 73.58 | 70.97 | 76.15 | 5.17 | 72.94 | 0.26 | 73.20 | 0.08 | 73.27 | 0.01 | 73.28 | 0.29 | 73.58 | 0.38 |\n| Mauritius | 73.51 | 70.10 | 77.10 | 7.00 | 74.19 | 0.04 | 74.24 | β0.06 | 74.18 | β0.50 | 73.68 | β0.17 | 73.51 | β0.72 |\n| Azerbaijan | 73.49 | 70.55 | 76.25 | 5.70 | 71.12 | 1.99 | 73.10 | β6.23 | 66.87 | 2.50 | 69.37 | 4.12 | 73.49 | 0.39 |\n| Palestine | 73.44 | 71.02 | 75.95 | 4.92 | 72.62 | 2.62 | 75.24 | β0.84 | 74.40 | β0.93 | 73.47 | β0.03 | 73.44 | β1.80 |\n| Brazil | 73.42 | 70.30 | 76.60 | 6.30 | 74.31 | 1.03 | 75.34 | β1.33 | 74.01 | β1.26 | 72.75 | 0.67 | 73.42 | β1.91 |\n| Peru | 73.39 | 71.33 | 75.50 | 4.16 | 75.33 | 0.82 | 76.16 | β2.49 | 73.67 | β1.29 | 72.38 | 1.01 | 73.39 | β2.77 |\n| Armenia | 73.37 | 67.87 | 78.45 | 10.58 | 74.06 | 1.38 | 75.44 | β3.27 | 72.17 | β0.13 | 72.04 | 1.33 | 73.37 | β2.07 |\n| Belarus | 73.11 | 68.09 | 78.38 | 10.29 | 72.97 | 1.26 | 74.23 | β1.77 | 72.46 | β0.09 | 72.37 | 0.74 | 73.11 | β1.12 |\n| Dominica | 72.98 | 69.88 | 76.45 | 6.58 | 69.43 | 4.12 | 73.56 | 0.09 | 73.65 | β0.84 | 72.81 | 0.17 | 72.98 | β0.58 |\n| Mongolia | 72.67 | 68.08 | 77.38 | 9.30 | 69.05 | 2.78 | 71.82 | 0.32 | 72.14 | β1.17 | 70.97 | 1.69 | 72.67 | 0.84 |\n| Samoa | 72.60 | 70.15 | 75.33 | 5.19 | 72.46 | β0.31 | 72.16 | 0.61 | 72.77 | 0.00 | 72.77 | β0.17 | 72.60 | 0.44 |\n| Russia | 72.55 | 67.57 | 77.77 | 10.20 | 70.74 | 2.34 | 73.08 | β1.75 | 71.34 | β1.44 | 69.9 | 2.65 | 72.55 | β0.54 |\n| Syria | 72.30 | 68.67 | 76.12 | 7.45 | 63.15 | 8.67 | 71.82 | 0.32 | 72.14 | β0.08 | 72.06 | 0.24 | 72.30 | 0.48 |\n| Bhutan | 72.23 | 70.57 | 74.15 | 3.58 | 70.05 | 1.34 | 71.39 | 0.22 | 71.61 | 0.21 | 71.81 | 0.41 | 72.23 | 0.84 |\n| Philippines | 72.19 | 70.22 | 74.17 | 3.96 | 71.15 | 0.71 | 71.86 | 0.25 | 72.12 | β2.85 | 69.27 | 2.92 | 72.19 | 0.32 |\n| Libya | 72.15 | 69.74 | 74.76 | 5.02 | 71.51 | 0.95 | 72.46 | 0.01 | 72.47 | β0.56 | 71.91 | 0.24 | 72.15 | β0.31 |\n| Kyrgyzstan | 72.05 | 68.00 | 76.30 | 8.30 | 70.40 | 1.20 | 71.60 | 0.20 | 71.80 | 0.10 | 71.9 | 0.15 | 72.05 | 0.45 |\n| World | 72.00 | 69.60 | 74.53 | 4.93 | 71.88 | 1.10 | 72.98 | β0.74 | 72.24 | β0.92 | 71.33 | 0.67 | 72.00 | β0.98 |\n| Uzbekistan | 71.67 | 69.03 | 74.29 | 5.26 | 70.23 | 1.11 | 71.34 | β1.01 | 70.33 | 0.53 | 70.86 | 0.81 | 71.67 | 0.33 |\n| Georgia | 71.59 | 66.76 | 76.46 | 9.70 | 73.10 | 0.37 | 73.47 | β0.70 | 72.77 | β1.07 | 71.69 | β0.11 | 71.59 | β1.88 |\n| Greenland | 71.54 | 69.76 | 73.41 | 3.65 | 71.06 | 0.88 | 71.94 | β0.09 | 71.85 | β0.04 | 71.81 | β0.27 | 71.54 | β0.40 |\n| El Salvador | 71.47 | 66.84 | 75.81 | 8.98 | 71.75 | 0.81 | 72.56 | β1.50 | 71.06 | β0.31 | 70.75 | 0.73 | 71.47 | β1.08 |\n| Iraq | 71.34 | 69.16 | 73.36 | 4.20 | 68.91 | 2.66 | 71.58 | β2.45 | 69.12 | 1.25 | 70.38 | 0.96 | 71.34 | β0.24 |\n| St. Lucia | 71.29 | 68.00 | 74.89 | 6.88 | 72.86 | 0.58 | 73.44 | β0.03 | 73.42 | β2.30 | 71.11 | 0.18 | 71.29 | β2.15 |\n| Tajikistan | 71.29 | 69.19 | 73.52 | 4.33 | 69.07 | 1.80 | 70.87 | β2.87 | 67.99 | 3.60 | 71.59 | β0.31 | 71.29 | 0.42 |\n| Tonga | 71.27 | 68.58 | 74.12 | 5.54 | 70.54 | 0.33 | 70.87 | 0.06 | 70.93 | 0.06 | 70.99 | 0.28 | 71.27 | 0.40 |\n| Venezuela | 71.11 | 66.88 | 75.66 | 8.78 | 72.85 | β0.69 | 72.16 | β1.07 | 71.09 | β0.54 | 70.55 | 0.55 | 71.11 | β1.06 |\n| Caribbean small states | 71.03 | 67.93 | 74.31 | 6.38 | 71.64 | 0.73 | 72.37 | β0.04 | 72.33 | β1.85 | 70.48 | 0.55 | 71.03 | β1.34 |\n| Belize | 70.96 | 67.72 | 74.69 | 6.96 | 73.31 | 0.62 | 73.93 | β1.08 | 72.85 | β2.38 | 70.47 | 0.49 | 70.96 | β2.97 |\n| Micronesia | 70.92 | 67.33 | 74.82 | 7.50 | 71.53 | β0.45 | 71.08 | β0.40 | 70.67 | 0.04 | 70.71 | 0.22 | 70.92 | β0.15 |\n| Solomon Islands | 70.74 | 69.29 | 72.36 | 3.06 | 69.23 | 1.15 | 70.38 | β0.18 | 70.20 | 0.15 | 70.35 | 0.39 | 70.74 | 0.36 |\n| Honduras | 70.73 | 68.46 | 73.16 | 4.70 | 72.26 | 0.62 | 72.88 | β1.42 | 71.46 | β1.34 | 70.12 | 0.60 | 70.73 | β2.15 |\n| Jamaica | 70.63 | 68.53 | 72.74 | 4.20 | 72.98 | β1.22 | 71.77 | 0.10 | 71.87 | β1.37 | 70.5 | 0.13 | 70.63 | β1.14 |\n| Vanuatu | 70.49 | 68.32 | 73.07 | 4.75 | 69.47 | 0.41 | 69.88 | 0.42 | 70.30 | 0.15 | 70.45 | 0.04 | 70.49 | 0.62 |\n| Nepal | 70.48 | 68.61 | 72.36 | 3.76 | 68.08 | 1.47 | 69.56 | β0.31 | 69.25 | β0.80 | 68.45 | 2.03 | 70.48 | 0.93 |\n| Paraguay | 70.47 | 67.64 | 73.57 | 5.93 | 72.88 | 0.74 | 73.62 | β0.44 | 73.18 | β2.92 | 70.26 | 0.21 | 70.47 | β3.15 |\n| Suriname | 70.29 | 67.19 | 73.58 | 6.39 | 69.78 | 2.46 | 72.24 | 0.32 | 72.56 | β2.29 | 70.27 | 0.02 | 70.29 | β1.95 |\n| Egypt | 70.16 | 67.87 | 72.56 | 4.69 | 70.42 | 0.94 | 71.36 | β0.37 | 70.99 | β0.77 | 70.22 | β0.06 | 70.16 | β1.20 |\n| Cambodia | 69.90 | 67.12 | 72.62 | 5.50 | 69.74 | 0.96 | 70.69 | β0.28 | 70.42 | β0.83 | 69.58 | 0.31 | 69.90 | β0.80 |\n| Pacific island small states | 69.73 | 67.79 | 71.85 | 4.06 | 68.64 | 0.65 | 69.29 | 0.07 | 69.36 | β0.20 | 69.16 | 0.57 | 69.73 | 0.44 |\n| Turkmenistan | 69.41 | 65.92 | 72.92 | 7.00 | 68.61 | 0.39 | 69.00 | β0.31 | 68.69 | 0.58 | 69.26 | 0.15 | 69.41 | 0.41 |\n| Timor-Leste | 69.06 | 67.44 | 70.81 | 3.38 | 66.79 | 1.48 | 68.27 | 0.21 | 68.47 | β0.74 | 67.74 | 1.32 | 69.06 | 0.79 |\n| Laos | 69.00 | 66.94 | 71.16 | 4.22 | 66.36 | 1.78 | 68.14 | 0.36 | 68.50 | β0.44 | 68.06 | 0.94 | 69.00 | 0.86 |\n| St. Vincent and the Grenadines | 68.97 | 66.69 | 71.73 | 5.04 | 74.47 | β1.64 | 72.83 | β0.71 | 72.13 | β2.50 | 69.63 | β0.66 | 68.97 | β3.86 |\n| Sao Tome and Principe | 68.79 | 66.05 | 71.94 | 5.88 | 66.84 | 1.68 | 68.52 | β0.74 | 67.78 | β0.19 | 67.59 | 1.20 | 68.79 | 0.27 |\n| Guatemala | 68.67 | 65.70 | 71.75 | 6.06 | 71.96 | 1.17 | 73.13 | β1.33 | 71.80 | β2.56 | 69.24 | β0.56 | 68.67 | β4.45 |\n| Moldova | 68.62 | 64.22 | 73.32 | 9.10 | 69.03 | 1.90 | 70.94 | β0.77 | 70.17 | β1.32 | 68.85 | β0.23 | 68.62 | β2.31 |\n| Ukraine | 68.59 | 63.52 | 73.90 | 10.38 | 71.19 | 0.64 | 71.83 | β0.64 | 71.19 | β1.54 | 69.65 | β1.06 | 68.59 | β3.24 |\n| Fiji | 68.31 | 66.47 | 70.24 | 3.77 | 67.38 | 0.52 | 67.89 | 0.03 | 67.92 | β0.81 | 67.11 | 1.20 | 68.31 | 0.42 |\n| Indonesia | 68.25 | 66.18 | 70.44 | 4.26 | 69.53 | 0.98 | 70.52 | β1.71 | 68.81 | β1.24 | 67.57 | 0.68 | 68.25 | β2.27 |\n| Senegal | 67.91 | 65.47 | 70.20 | 4.73 | 66.45 | 2.07 | 68.53 | β0.52 | 68.01 | β0.91 | 67.09 | 0.82 | 67.91 | β0.61 |\n| India | 67.74 | 66.26 | 69.38 | 3.13 | 69.07 | 1.84 | 70.91 | β0.76 | 70.15 | β2.91 | 67.24 | 0.50 | 67.74 | β3.17 |\n| Kiribati | 67.66 | 65.73 | 69.39 | 3.66 | 65.81 | 1.34 | 67.15 | 0.12 | 67.27 | 0.15 | 67.42 | 0.24 | 67.66 | 0.51 |\n| Myanmar | 67.26 | 64.18 | 70.48 | 6.30 | 65.06 | 1.55 | 66.61 | 0.19 | 66.80 | β1.12 | 65.67 | 1.58 | 67.26 | 0.65 |\n| Rwanda | 67.13 | 64.81 | 69.24 | 4.43 | 64.94 | 1.50 | 66.44 | 0.34 | 66.77 | β0.70 | 66.07 | 1.06 | 67.13 | 0.69 |\n| Tanzania | 66.78 | 64.72 | 68.93 | 4.21 | 63.87 | 3.12 | 66.99 | β0.58 | 66.41 | β0.21 | 66.2 | 0.58 | 66.78 | β0.21 |\n| Eritrea | 66.60 | 64.46 | 68.68 | 4.22 | 65.60 | 1.70 | 67.30 | β0.17 | 67.13 | β0.60 | 66.54 | 0.07 | 66.60 | β0.70 |\n| Pakistan | 66.43 | 64.13 | 68.92 | 4.78 | 65.28 | 1.47 | 66.76 | β0.49 | 66.27 | β0.17 | 66.1 | 0.33 | 66.43 | β0.33 |\n| Guyana | 65.99 | 62.78 | 69.40 | 6.62 | 67.88 | 1.24 | 69.12 | β0.64 | 68.49 | β2.81 | 65.67 | 0.32 | 65.99 | β3.13 |\n| Papua New Guinea | 65.96 | 63.38 | 69.17 | 5.79 | 64.26 | 1.22 | 65.47 | 0.31 | 65.79 | β0.44 | 65.35 | 0.61 | 65.96 | 0.48 |\n| Botswana | 65.91 | 63.33 | 68.40 | 5.07 | 62.61 | 2.86 | 65.46 | 0.18 | 65.65 | β4.51 | 61.14 | 4.77 | 65.91 | 0.45 |\n| Gabon | 65.69 | 63.36 | 68.36 | 5.00 | 64.97 | 1.63 | 66.60 | β0.07 | 66.53 | β0.71 | 65.82 | β0.13 | 65.69 | β0.91 |\n| Ethiopia | 65.64 | 62.61 | 68.90 | 6.29 | 62.91 | 2.93 | 65.84 | β0.47 | 65.37 | β0.40 | 64.97 | 0.67 | 65.64 | β0.19 |\n| Sudan | 65.58 | 63.05 | 68.18 | 5.14 | 64.27 | 1.61 | 65.88 | β0.26 | 65.61 | β0.35 | 65.27 | 0.31 | 65.58 | β0.30 |\n| Madagascar | 65.23 | 62.97 | 67.62 | 4.65 | 64.25 | 1.63 | 65.88 | β0.70 | 65.18 | β0.70 | 64.48 | 0.75 | 65.23 | β0.65 |\n| Marshall Islands | 65.15 | 63.55 | 67.09 | 3.55 | 63.62 | 1.12 | 64.75 | 0.23 | 64.98 | 0.29 | 65.27 | β0.12 | 65.15 | 0.40 |\n| Bolivia | 64.93 | 62.27 | 67.91 | 5.64 | 67.16 | 0.68 | 67.84 | β3.37 | 64.47 | β0.84 | 63.63 | 1.30 | 64.93 | β2.91 |\n| Mauritania | 64.69 | 62.97 | 66.45 | 3.48 | 64.16 | 1.53 | 65.69 | β1.16 | 64.53 | β0.17 | 64.36 | 0.33 | 64.69 | β1.00 |\n| Ghana | 63.95 | 61.80 | 66.13 | 4.32 | 63.05 | 1.69 | 64.74 | β0.63 | 64.11 | β0.32 | 63.8 | 0.15 | 63.95 | β0.79 |\n| Haiti | 63.73 | 60.89 | 66.69 | 5.80 | 62.99 | 1.27 | 64.25 | β0.20 | 64.05 | β0.86 | 63.19 | 0.54 | 63.73 | β0.53 |\n| Yemen | 63.72 | 60.49 | 67.22 | 6.73 | 67.38 | β2.29 | 65.09 | β0.44 | 64.65 | β0.90 | 63.75 | β0.03 | 63.72 | β1.37 |\n| Comoros | 63.68 | 61.52 | 66.06 | 4.54 | 62.52 | 1.55 | 64.07 | 0.10 | 64.17 | β0.75 | 63.42 | 0.26 | 63.68 | β0.39 |\n| Uganda | 63.64 | 61.49 | 65.70 | 4.22 | 60.41 | 2.58 | 62.99 | β0.14 | 62.85 | β0.15 | 62.7 | 0.93 | 63.64 | 0.65 |\n| Congo, Rep. | 63.05 | 61.51 | 64.62 | 3.10 | 62.95 | β0.20 | 62.75 | 1.04 | 63.78 | β0.27 | 63.52 | β0.47 | 63.05 | 0.31 |\n| Gambia | 62.91 | 61.48 | 64.34 | 2.86 | 62.27 | 1.49 | 63.76 | β1.14 | 62.61 | β0.53 | 62.08 | 0.82 | 62.91 | β0.85 |\n| Malawi | 62.90 | 59.58 | 66.33 | 6.75 | 60.90 | 3.22 | 64.12 | β0.40 | 63.72 | β0.81 | 62.9 | β0.01 | 62.90 | β1.22 |\n| Afghanistan | 62.88 | 59.77 | 66.21 | 6.45 | 62.55 | 1.02 | 63.56 | β0.99 | 62.58 | β0.59 | 61.98 | 0.90 | 62.88 | β0.69 |\n| Djibouti | 62.86 | 60.34 | 65.50 | 5.17 | 61.64 | 1.44 | 63.09 | β0.39 | 62.69 | β0.39 | 62.3 | 0.55 | 62.86 | β0.23 |\n| Niger | 62.08 | 60.82 | 63.40 | 2.59 | 60.79 | 2.11 | 62.90 | β1.45 | 61.45 | 0.12 | 61.58 | 0.50 | 62.08 | β0.82 |\n| Kenya | 62.05 | 59.58 | 64.69 | 5.11 | 61.82 | 1.13 | 62.94 | β0.27 | 62.67 | β1.25 | 61.43 | 0.63 | 62.05 | β0.89 |\n| Burundi | 61.98 | 60.08 | 63.87 | 3.79 | 59.87 | 2.48 | 62.35 | β0.78 | 61.57 | 0.10 | 61.66 | 0.31 | 61.98 | β0.37 |\n| Angola | 61.93 | 59.35 | 64.54 | 5.19 | 60.04 | 2.41 | 62.45 | β0.19 | 62.26 | β0.62 | 61.64 | 0.29 | 61.93 | β0.52 |\n| Zambia | 61.80 | 59.06 | 64.51 | 5.45 | 60.70 | 2.09 | 62.79 | β0.41 | 62.38 | β1.16 | 61.22 | 0.58 | 61.80 | β0.99 |\n| Togo | 61.59 | 60.95 | 62.23 | 1.28 | 58.85 | 2.05 | 60.90 | 0.13 | 61.03 | 0.58 | 61.62 | β0.03 | 61.59 | 0.69 |\n| South Africa | 61.48 | 58.60 | 64.18 | 5.58 | 63.38 | 2.79 | 66.17 | β0.92 | 65.25 | β2.91 | 62.34 | β0.86 | 61.48 | β4.70 |\n| Equatorial Guinea | 61.19 | 59.43 | 63.26 | 3.83 | 59.59 | 2.05 | 61.64 | β0.94 | 60.71 | β0.11 | 60.59 | 0.60 | 61.19 | β0.45 |\n| Liberia | 61.10 | 59.80 | 62.39 | 2.60 | 59.12 | 1.98 | 61.10 | β0.16 | 60.95 | β0.20 | 60.75 | 0.35 | 61.10 | 0.00 |\n| Cameroon | 60.96 | 59.39 | 62.56 | 3.16 | 58.94 | 2.65 | 61.58 | β0.75 | 60.83 | β0.50 | 60.33 | 0.62 | 60.96 | β0.63 |\n| Sierra Leone | 60.41 | 59.12 | 61.69 | 2.58 | 56.39 | 3.86 | 60.26 | β0.49 | 59.76 | 0.30 | 60.06 | 0.35 | 60.41 | 0.16 |\n| Benin | 59.95 | 58.27 | 61.68 | 3.41 | 59.12 | 1.33 | 60.45 | β0.37 | 60.09 | β0.27 | 59.82 | 0.13 | 59.95 | β0.50 |\n| Guinea-Bissau | 59.86 | 57.67 | 61.93 | 4.26 | 58.61 | 2.27 | 60.88 | β0.88 | 60.00 | β0.35 | 59.65 | 0.21 | 59.86 | β1.02 |\n| Burkina Faso | 59.77 | 57.95 | 61.51 | 3.55 | 58.36 | 1.68 | 60.04 | β0.31 | 59.73 | β0.46 | 59.27 | 0.50 | 59.77 | β0.27 |\n| DR Congo | 59.74 | 57.52 | 62.05 | 4.53 | 58.30 | 1.98 | 60.28 | β0.54 | 59.74 | β0.55 | 59.19 | 0.55 | 59.74 | β0.53 |\n| Mozambique | 59.62 | 56.53 | 62.69 | 6.16 | 57.27 | 3.89 | 61.17 | 0.01 | 61.17 | β1.85 | 59.33 | 0.30 | 59.62 | β1.54 |\n| Mali | 59.42 | 58.07 | 60.83 | 2.76 | 57.90 | 1.76 | 59.66 | β1.03 | 58.63 | 0.31 | 58.94 | 0.48 | 59.42 | β0.25 |\n| Zimbabwe | 59.39 | 56.43 | 62.09 | 5.67 | 58.85 | 2.45 | 61.29 | β0.17 | 61.12 | β1.87 | 59.25 | 0.14 | 59.39 | β1.90 |\n| Guinea | 58.98 | 57.64 | 60.24 | 2.59 | 57.89 | 1.83 | 59.72 | β0.39 | 59.33 | β0.43 | 58.89 | 0.09 | 58.98 | β0.73 |\n| Cote d'Ivoire | 58.92 | 57.69 | 60.28 | 2.60 | 57.21 | 2.11 | 59.32 | β0.29 | 59.03 | β0.43 | 58.6 | 0.32 | 58.92 | β0.40 |\n| Namibia | 58.06 | 54.59 | 61.70 | 7.11 | 59.82 | 3.25 | 63.08 | β0.25 | 62.83 | β3.56 | 59.27 | β1.21 | 58.06 | β5.02 |\n| Eswatini | 56.36 | 52.65 | 60.60 | 7.95 | 53.05 | 7.50 | 60.55 | β0.86 | 59.69 | β2.63 | 57.07 | β0.71 | 56.36 | β4.19 |\n| Somalia | 56.11 | 54.07 | 58.23 | 4.16 | 54.28 | 2.80 | 57.08 | β1.11 | 55.97 | β0.69 | 55.28 | 0.83 | 56.11 | β0.97 |\n| South Sudan | 55.57 | 54.04 | 57.05 | 3.01 | 54.97 | 0.94 | 55.91 | β0.43 | 55.48 | β0.50 | 54.98 | 0.59 | 55.57 | β0.34 |\n| Central African Republic | 54.48 | 52.26 | 56.83 | 4.57 | 50.57 | 4.46 | 55.02 | β0.42 | 54.60 | β0.71 | 53.9 | 0.58 | 54.48 | β0.55 |\n| Nigeria | 53.63 | 53.30 | 53.97 | 0.67 | 51.79 | 1.12 | 52.91 | β0.02 | 52.89 | β0.21 | 52.68 | 0.96 | 53.63 | 0.72 |\n| Lesotho | 53.04 | 50.32 | 55.92 | 5.60 | 50.03 | 4.14 | 54.17 | 0.52 | 54.69 | β1.63 | 53.06 | β0.03 | 53.04 | β1.14 |\n| Chad | 53.00 | 51.30 | 54.77 | 3.47 | 51.20 | 2.06 | 53.26 | β0.48 | 52.78 | β0.25 | 52.52 | 0.47 | 53.00 | β0.26 |\n| Cayman Islands | β |||||||||| 82.01 | β |||", "structures": []}, {"doc_id": "2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Nicaragua\n\n## Demographics of Nicaragua\nPopulation : 6,850,540 (2021 est.)\nMale population : 2,839,168\nFemale population : 2,836,188\nPopulation growth : 1.855%\nBirth rate : 15.6/1,000 (2023 est.)\nDeath rate : 5.0/1,000 (2021 est.)\nInfant mortality rate : 11.861/1,000\nLife expectancy : 74.8 years\nNationality : Nicaraguan\nDemographic bureaus : INEC", "structures": [{"shape_id": "claim_and_theme_summaries", "description": "Curated claim bundles, thematic summaries, interpretations, notable facts, findings, reception notes, and asserted-property/standout-fact classifications that group entities by a claim rather than by full attribute coverage.", "file": 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"{\"entity\":\"Nicaragua\",\"claim\":\"population_2021_est\",\"value\":\"6,850,540\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"male_population\",\"value\":\"2,839,168\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"female_population\",\"value\":\"2,836,188\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"population_growth\",\"value\":\"1.855%\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"birth_rate_2023_est\",\"value\":\"15.6/1,000\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"death_rate_2021_est\",\"value\":\"5.0/1,000\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"infant_mortality_rate\",\"value\":\"11.861/1,000\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"life_expectancy\",\"value\":\"74.8 years\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"nationality\",\"value\":\"Nicaraguan\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n{\"entity\":\"Nicaragua\",\"claim\":\"demographic_bureaus\",\"value\":\"INEC\",\"source_doc\":\"2o7RE8RhxsrmKTAPe2pnREmcJrb3SdgQhkujuQL44yrdU8ZxKCPPTzwf3ShCmAwmhGHGyniCXGBEKdxwpWa13MbR__0__infobox__0\"}\n"}]}, {"doc_id": "3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0", "is_supporting": true, "n_structures": 3, "contents": "Costa Rica\n\n## Republic of Costa RicaRepΓΊblica de Costa Rica (Spanish)\nImage : Flag of Costa Rica\nAnthem: \"Himno Nacional de Costa Rica\" (Spanish) \n\"National Anthem of Costa Rica\"\nCapitaland largest city :\nSan JosΓ© \n9Β°56β²N 84Β°5β²Wο»Ώ / ο»Ώ9.933Β°N 84.083Β°Wο»Ώ / 9.933; -84.083\nOfficial languages : Spanish\nRecognized regional languages :\n * Mekatelyu\n * Bribri\n * Patois\nEthnic groups (2021) :\n * 83.6% White or Mestizo\n * 6.7% Mulatto (mixed Black and White)\n * 2.4% Indigenous\n * 1.1% Black\n * 6.2% others\nReligion (2021) :\n * * 72.6% Christianity \n * 47.5% Catholicism (official)\n * 22.5% Protestantism\n * 2.6% other Christian\n * 27.0% no religion\n * 0.4% others\nDemonym(s) :\n * Costa Rican\n * Tico(a)\nGovernment : Unitary presidential republic\nβ’ President : Rodrigo Chaves\nβ’ 1st Vice-President : Stephan Brunner\nβ’ 2nd Vice-President : Mary Munive\nLegislature : Legislative Assembly\n\n## Independence from\nβ’ from Spain : 15 September 1821\nβ’ from First Mexican Empire : 1 July 1823\nβ’ from the Federal Republic of Central America : 14 November 1838\nβ’ Current constitution : 7 November 1949\nβ’ Recognized by Spain : 10 May 1850\n\n## Area\nβ’ Total : 51,179.92 km2 (19,760.68 sq mi) (126th)\nβ’ Water (%) : 1.05 (as of 2015)\n\n## Population\nβ’ 2022 census : 5,044,197\nβ’ Density : 220/sq mi (84.9/km2) (107th)\nGDP (PPP) : 2025 estimate\nβ’ Total : $167.186 billion (90th)\nβ’ Per capita : $31,092 (66th)\nGDP (nominal) : 2025 estimate\nβ’ Total : $100.670 billion (85th)\nβ’ Per capita : $18,722 (64th)\nGini (2022) :\n47.2 \nhigh inequality\nHDI (2022) :\n0.806 \nvery high (64th)\nCurrency : Costa Rican colΓ³n (CRC)\nTime zone : UTCβ6 (CST)\nDrives on : Right\nCalling code : +506\nISO 3166 code : CR\nInternet TLD :\n.cr \n.co.cr", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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RepΓΊblica de Costa Rica (Spanish)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"anthem\",\"value\":\"Himno Nacional de Costa Rica; National Anthem of Costa Rica\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"capital_and_largest_city\",\"value\":\"San JosΓ©\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"San JosΓ©\",\"claim\":\"coordinates\",\"value\":\"9Β°56β²N 84Β°5β²W / 9.933Β°N 84.083Β°W / 9.933; -84.083\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"official_language\",\"value\":\"Spanish\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"recognized_regional_languages\",\"value\":\"Mekatelyu; Bribri; Patois\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"demonyms\",\"value\":\"Costa Rican; Tico(a)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"government\",\"value\":\"Unitary presidential republic\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"president\",\"value\":\"Rodrigo Chaves\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"first_vice_president\",\"value\":\"Stephan Brunner\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"second_vice_president\",\"value\":\"Mary Munive\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"legislature\",\"value\":\"Legislative Assembly\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"area_total\",\"value\":\"51,179.92 km2 (19,760.68 sq mi), ranked 126th\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"water_percentage\",\"value\":\"1.05 as of 2015\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"population_2022_census\",\"value\":\"5,044,197\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"population_density\",\"value\":\"220/sq mi (84.9/km2), ranked 107th\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"gdp_ppp_2025_estimate\",\"value\":\"Total $167.186 billion (90th); per capita $31,092 (66th)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"gdp_nominal_2025_estimate\",\"value\":\"Total $100.670 billion (85th); per capita $18,722 (64th)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"gini_2022\",\"value\":\"47.2; high inequality\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"hdi_2022\",\"value\":\"0.806; very high; ranked 64th\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"currency\",\"value\":\"Costa Rican colΓ³n (CRC)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"time_zone\",\"value\":\"UTCβ6 (CST)\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"drives_on\",\"value\":\"Right\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"calling_code\",\"value\":\"+506\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"iso_3166_code\",\"value\":\"CR\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n{\"entity\":\"Costa Rica\",\"claim\":\"internet_tld\",\"value\":\".cr; .co.cr\",\"source_doc\":\"3js4NDY5QiYqJJfP7xkv9kQRgq29bRwm4u5jH5BmEBcFSjNL1BxdpC2h8jvXZbt3htD9zn4QCws32YSuArCt3Cug__0__infobox__0\"}\n"}]}, {"doc_id": "3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Panama\n\n## Demographics of Panama\nPopulation : 4,337,768 (2022 est.)\nGrowth rate : 1.53% (2022 est.)\nBirth rate : 13.3 births/1,000 population (2023 est.)\nDeath rate : 4.8 deaths/1,000 population (2023 est.)\nLife expectancy : 77.62 years\nβ’ male : 74.76 years\nβ’ female : 80.66 years\nFertility rate : 1.82 children per woman (2023 est.)\nInfant mortality rate : 16.44 deaths/1,000 live births\nNet migration rate : 3.42 migrant(s)/1,000 population\n\n## Age structure\n0β14 years : 25.44%\n15β64 years : 65.66%\n65 and over : 8.90%\n\n## Nationality\nNationality : Panamanian\nMajor ethnic : Mestizo - 65%\n\n## Language\nOfficial : Spanish", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. The source need not itself be tabular -- the triggering condition is repetition: the document describes two or more instances of the same kind of record (matches, brackets, years, measurements, people, films, organizations, events, ...), each ascribed a recurring set of attributes. Sources span explicit tables, infoboxes, and bullet lists, but also flowing prose -- e.g. a paragraph naming five battles a general fought, a biography listing seven employers with dates, a section enumerating annual award winners. Emit one row per record; columns capture the attributes that recur across records. Skip attributes mentioned for only one record -- they are too sparse to warrant a column. The shape promotes scattered prose facts into a grid the agent can filter and join, even when no grid existed in the source.", "file": "3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0__panama_demographics_infobox_facts.csv", "format": "csv", "content": "source_doc,subject_text,category_text,measure_text,value_text,year_text\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Population,\"4,337,768\",2022 est.\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Growth rate,1.53%,2022 est.\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Birth rate,\"13.3 births/1,000 population\",2023 est.\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Death rate,\"4.8 deaths/1,000 population\",2023 est.\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Life expectancy,77.62 years,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Male life expectancy,74.76 years,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Female life expectancy,80.66 years,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Fertility rate,1.82 children per woman,2023 est.\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Infant mortality rate,\"16.44 deaths/1,000 live births\",\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Demographics,Net migration rate,\"3.42 migrant(s)/1,000 population\",\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Age structure,0β14 years,25.44%,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Age structure,15β64 years,65.66%,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Age structure,65 and over,8.90%,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Nationality,Nationality,Panamanian,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Nationality,Major ethnic,Mestizo - 65%,\n3kPcfei69a8gS73tJ9uPSVADDBhhiTqp3p2iHLM9jwLT6cEx9wk5iRA4CfqEWu7ktXiPDm3JqHrBm1NMVHcvLQ5z__0__infobox__0,Panama,Language,Official,Spanish,\n"}]}, {"doc_id": "3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0", "is_supporting": true, "n_structures": 1, "contents": "List of U.S. states and territories by life expectancy\nList of U.S. states and territories by life expectancy >>> US Mortality DataBase (2019)\n| Rank | State/Territory | Life Expectancy 2019 | Male | Female |\n|:---|:---|---:|:---|:---|\n| 1. | Hawaii | 81.6 | 78.6 | 84.6 |\n| 2. | California | 81.2 | 78.7 | 83.6 |\n| 3. | New York | 81.2 | 78.6 | 83.5 |\n| 5. | Minnesota | 80.6 | 78.4 | 82.8 |\n| 6. | Connecticut | 80.6 | 78.0 | 83.1 |\n| 4. | Massachusetts | 80.7 | 78.1 | 83.1 |\n| 8 | Colorado | 80.2 | 78.0 | 82.4 |\n| 7. | New Jersey | 80.5 | 78.0 | 82.8 |\n| 9. | Washington | 80.2 | 78.1 | 82.3 |\n| 15. | Florida | 79.6 | 76.9 | 82.3 |\n| 11. | Utah | 79.9 | 78.2 | 81.7 |\n| 19. | Arizona | 79.3 | 76.6 | 82.1 |\n| 13. | Oregon | 79.6 | 77.4 | 81.9 |\n| - | Guam | 79.9 | - ||\n| 12. | Rhode Island | 79.8 | 77.2 | 82.2 |\n| 10. | Vermont | 79.9 | 77.5 | 82.5 |\n| - | Puerto Rico | 79.8 | - ||\n| 22. | North Dakota | 79.2 | 76.6 | 81.7 |\n| 14. | New Hampshire | 79.6 | 77.3 | 82.0 |\n| 17. | Nebraska | 79.4 | 77.3 | 81.5 |\n| - | U.S. Virgin Islands | 79.6 | - ||\n| 18. | Virginia | 79.3 | 77.0 | 81.6 |\n| 20. | Wisconsin | 79.3 | 77.1 | 81.5 |\n| 23. | Iowa | 79.1 | 76.6 | 81.7 |\n| 16. | Idaho | 79.6 | 77.7 | 81.5 |\n| 21. | Illinois | 79.3 | 76.7 | 81.8 |\n| 25. | Texas | 78.8 | 76.4 | 81.3 |\n| 24. | Maryland | 79 | 76.2 | 81.7 |\n| 35. | Alaska | 78.2 | 76.3 | 80.4 |\n| 29. | District of Columbia | 78.5 | 75.2 | 81.3 |\n| 28. | South Dakota | 78.5 | 76.1 | 81.0 |\n| 34. | Wyoming | 78.3 | 75.7 | 80.9 |\n| 26. | Montana | 78.6 | 76.4 | 81.0 |\n| - | United States | 78.8 | 76.3 | 81.4 |\n| 30. | Maine | 78.4 | 75.9 | 81.0 |\n| 32. | Nevada | 78.3 | 75.9 | 80.9 |\n| 33. | Kansas | 78.3 | 76.0 | 80.6 |\n| 31. | Delaware | 78.4 | 75.4 | 81.2 |\n| 27. | Pennsylvania | 78.5 | 75.9 | 81.1 |\n| 37. | North Carolina | 77.8 | 75.2 | 80.3 |\n| 39. | New Mexico | 77.2 | 74.2 | 80.4 |\n| 36. | Michigan | 78.1 | 75.7 | 80.4 |\n| 38. | Georgia | 77.7 | 75.3 | 80.1 |\n| 40. | Missouri | 77.2 | 74.4 | 80.0 |\n| 43. | South Carolina | 76.9 | 74.0 | 79.8 |\n| 41. | Indiana | 77.1 | 74.6 | 79.6 |\n| 42. | Ohio | 77 | 74.5 | 79.6 |\n| - | Northern Mariana Islands | 76.1 | - ||\n| 44. | Louisiana | 76 | 73.1 | 78.8 |\n| 47. | Tennessee | 75.8 | 73.0 | 78.7 |\n| 46. | Oklahoma | 75.9 | 73.4 | 78.5 |\n| 45. | Arkansas | 75.9 | 73.2 | 78.6 |\n| 48. | Kentucky | 75.6 | 73.1 | 78.2 |\n| 49. | Alabama | 75.5 | 72.5 | 78.5 |\n| 51. | Mississippi | 74.5 | 71.4 | 77.7 |\n| - | American Samoa | 74.8 | - ||\n| 50. | West Virginia | 74.7 | 72.1 | 77.4 |", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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York,81.2,78.6,83.5\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,5,Minnesota,80.6,78.4,82.8\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,6,Connecticut,80.6,78.0,83.1\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,4,Massachusetts,80.7,78.1,83.1\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,8,Colorado,80.2,78.0,82.4\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,7,New 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Islands,79.6,,\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,18,Virginia,79.3,77.0,81.6\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,20,Wisconsin,79.3,77.1,81.5\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,23,Iowa,79.1,76.6,81.7\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,16,Idaho,79.6,77.7,81.5\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,21,Illinois,79.3,76.7,81.8\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,25,Texas,78.8,76.4,81.3\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,24,Maryland,79,76.2,81.7\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,35,Alaska,78.2,76.3,80.4\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,29,District of Columbia,78.5,75.2,81.3\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,28,South Dakota,78.5,76.1,81.0\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,34,Wyoming,78.3,75.7,80.9\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,26,Montana,78.6,76.4,81.0\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,,United States,78.8,76.3,81.4\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,30,Maine,78.4,75.9,81.0\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,32,Nevada,78.3,75.9,80.9\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,33,Kansas,78.3,76.0,80.6\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,31,Delaware,78.4,75.4,81.2\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,27,Pennsylvania,78.5,75.9,81.1\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,37,North Carolina,77.8,75.2,80.3\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,39,New Mexico,77.2,74.2,80.4\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,36,Michigan,78.1,75.7,80.4\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,38,Georgia,77.7,75.3,80.1\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,40,Missouri,77.2,74.4,80.0\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,43,South Carolina,76.9,74.0,79.8\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,41,Indiana,77.1,74.6,79.6\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,42,Ohio,77,74.5,79.6\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,,Northern Mariana Islands,76.1,,\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,44,Louisiana,76,73.1,78.8\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,47,Tennessee,75.8,73.0,78.7\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,46,Oklahoma,75.9,73.4,78.5\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,45,Arkansas,75.9,73.2,78.6\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,48,Kentucky,75.6,73.1,78.2\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,49,Alabama,75.5,72.5,78.5\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,51,Mississippi,74.5,71.4,77.7\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,,American Samoa,74.8,,\n3po8vU876V8RwwJjx8nZ26M8JqKfqE3NzWpp8oXz2FGcL4cGttDMaEjhLDC1zrwgRuAJArAXz3MFazCGdNLijZQq__3__table__0,50,West Virginia,74.7,72.1,77.4\n"}]}, {"doc_id": "ZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Uruguay\n\n## Demographics of Uruguay\nPopulation : 3.444.263 (2023 census)\nDensity : 19.43/km2\nGrowth rate : 0.27% (2023 est.)\nBirth rate : 12.65 births/1,000 population (2023 est.)\nDeath rate : 9.12 deaths/1,000 population (2023 est.)\nLife expectancy : 78.66 years\nβ’ male : 75.58 years\nβ’ female : 81.86 years (2023 est.)\nFertility rate : 1.75 children born/woman (2023 est.)\nInfant mortality rate : 8.14 deaths/1,000 live births (2023 est.)\nNet migration rate : -0.88 migrant(s)/1,000 population (2024 est.)\n\n## Age structure\n0β14 years : 18.9% (male 329,268/ female 317,925)\n15β64 years : 65.4% (male 1,112,622/ female 1,128,418)\n65 and over : 15.7% (male 218,242/ female 318,855) (2023 est.)\n\n## Sex ratio\nTotal : 0.94 male(s)/female (2023 est.)\nAt birth : 1.04 male(s)/female\nUnder 15 : 1.04 male(s)/female\n15β64 years : 0.98 male(s)/female\n65 and over : 0.68 male(s)/female\n\n## Nationality\nNationality : Uruguayan\nMajor ethnic :\n * * White (87.68%) \n * Spanish (N/D)\n * Italian (N/D)\n * French (N/D)\n * German (N/D)\n * Arab (N/D)\n * Others (N/D)\nMinor ethnic :\n * * Black (4.60%)\n * Native (2.35%) \n * CharrΓΊa (N/D)\n * Others (N/D)\n * East Asian (0.23%)\n * Other (0.15%)\n * Unspecified (4.99%)\n\n## Language\nOfficial : Spanish\nSpoken : Italian Β· Galician Β· Basque", "structures": [{"shape_id": "tabular_records", "description": "A CSV grid that normalizes any recurring record-with-attributes pattern in the document into a row-by-column table. 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est.\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,age structure,0β14 years,18.9%,\"329,268\",\"317,925\",2023 est.\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,age structure,15β64 years,65.4%,\"1,112,622\",\"1,128,418\",2023 est.\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,age structure,65 and over,15.7%,\"218,242\",\"318,855\",2023 est.\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,sex ratio,total,0.94 male(s)/female,,,2023 est.\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,sex ratio,at birth,1.04 male(s)/female,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,sex ratio,under 15,1.04 male(s)/female,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,sex ratio,15β64 years,0.98 male(s)/female,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,sex ratio,65 and over,0.68 male(s)/female,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,nationality,nationality,Uruguayan,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,major ethnic,White,87.68%,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,major ethnic,Spanish,N/D,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,major ethnic,Italian,N/D,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,major 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ethnic,Others,N/D,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,minor ethnic,East Asian,0.23%,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,minor ethnic,Other,0.15%,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,minor ethnic,Unspecified,4.99%,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,language,official,Spanish,,,\nZjfFPTQZySajKmVys6YGC3Z1PkdEXNdPQwMqdEPC5hWjSzzKB6r8DsdNTdrD9DeTpiq6MJwhjrAz1nSM8HEPevV__0__infobox__0,language,spoken,Italian Β· Galician Β· Basque,,,\n"}]}, {"doc_id": "4cRKwvqRTMzENeX98TkZqiM25FVK765EZHmdADmBY7dV9q42qt1FfXKippSk4QQJFKNiCaGAtWQoXHnpZKkXeneF__19__paragraph__0", "is_supporting": true, "n_structures": 1, "contents": "Guadeloupe\nGuadeloupe >>> Demographics >>> Health\nIn 2011, life expectancy at birth was recorded at 77.0 years for males and 83.5 for females.", "structures": [{"shape_id": "claim_and_theme_summaries", "description": "Curated claim bundles, thematic summaries, interpretations, notable facts, findings, reception notes, and asserted-property/standout-fact classifications that group entities by a claim rather than by full attribute coverage.", "file": "4cRKwvqRTMzENeX98TkZqiM25FVK765EZHmdADmBY7dV9q42qt1FfXKippSk4QQJFKNiCaGAtWQoXHnpZKkXeneF__19__paragraph__0__guadeloupe_2011_life_expectancy.jsonl", "format": "jsonl", "content": "{\"entity\":\"Guadeloupe\",\"claim\":\"male_life_expectancy_at_birth_2011_years\",\"value\":\"77.0\",\"source_doc\":\"4cRKwvqRTMzENeX98TkZqiM25FVK765EZHmdADmBY7dV9q42qt1FfXKippSk4QQJFKNiCaGAtWQoXHnpZKkXeneF__19__paragraph__0\"}\n{\"entity\":\"Guadeloupe\",\"claim\":\"female_life_expectancy_at_birth_2011_years\",\"value\":\"83.5\",\"source_doc\":\"4cRKwvqRTMzENeX98TkZqiM25FVK765EZHmdADmBY7dV9q42qt1FfXKippSk4QQJFKNiCaGAtWQoXHnpZKkXeneF__19__paragraph__0\"}\n"}]}, {"doc_id": "3bikwCUwq5ezGowJtv9gFHfRQqsAcUixK6af1b12HkBSQ6eGQx289REgSMV9eWmWAh3asu8MuSD4cwCQCMV1e9kp__2__paragraph__0", "is_supporting": true, "n_structures": 1, "contents": "Demographics of Martinique\nDemographics of Martinique >>> Population\nAccording to INSEE Martinique has an estimated population of 390,371 on 1 January 2012. Life expectancy at birth is 78.9 years for males and 84.8 for females (figures for 2011).", "structures": [{"shape_id": "claim_and_theme_summaries", "description": "Curated claim bundles, thematic summaries, interpretations, notable facts, findings, reception notes, and asserted-property/standout-fact classifications that group entities by a claim rather than by full attribute coverage.", "file": "3bikwCUwq5ezGowJtv9gFHfRQqsAcUixK6af1b12HkBSQ6eGQx289REgSMV9eWmWAh3asu8MuSD4cwCQCMV1e9kp__2__paragraph__0__martinique_demographics_population_life_expectancy.jsonl", "format": "jsonl", "content": "{\"entity\":\"Martinique\",\"claim\":\"estimated_population_on_2012_01_01\",\"value\":\"390,371 according to INSEE\",\"source_doc\":\"3bikwCUwq5ezGowJtv9gFHfRQqsAcUixK6af1b12HkBSQ6eGQx289REgSMV9eWmWAh3asu8MuSD4cwCQCMV1e9kp__2__paragraph__0\"}\n{\"entity\":\"Martinique males\",\"claim\":\"life_expectancy_at_birth_2011\",\"value\":\"78.9 years\",\"source_doc\":\"3bikwCUwq5ezGowJtv9gFHfRQqsAcUixK6af1b12HkBSQ6eGQx289REgSMV9eWmWAh3asu8MuSD4cwCQCMV1e9kp__2__paragraph__0\"}\n{\"entity\":\"Martinique females\",\"claim\":\"life_expectancy_at_birth_2011\",\"value\":\"84.8 years\",\"source_doc\":\"3bikwCUwq5ezGowJtv9gFHfRQqsAcUixK6af1b12HkBSQ6eGQx289REgSMV9eWmWAh3asu8MuSD4cwCQCMV1e9kp__2__paragraph__0\"}\n"}]}, {"doc_id": "43GPsRa2vetqnmph28jkZfApEX14nhU1DbVg32SqaeDrdMVrTDpWj1WBCzf1eh2mVv1XNCBVPG2h3DFuWnWqrUdC__7__table__0", "is_supporting": true, "n_structures": 0, "contents": "List of countries by life expectancy\nList of countries by life expectancy >>> World Health Organization (2019)\n# World Health Organization (2019)\n---\n| ('Countries', 'Countries') | ('Life expectancy at birth', 'All') | ('Life expectancy at birth', 'M') | ('Life expectancy at birth', 'F') | ('Life expectancy at birth', 'FΞM') | ('Life expectancy at birth', 'Ξ 2000') | ('HALE at birth', 'All') | ('HALE at birth', 'M') | ('HALE at birth', 'F') | ('HALE at birth', 'FΞM') | ('HALE at birth', 'Ξ 2000') | ('Life expectancy at age 60', 'All') | ('Life expectancy at age 60', 'M') | ('Life expectancy at age 60', 'F') | ('Life expectancy at age 60', 'FΞM') | ('Life expectancy at age 60', 'Ξ 2000') | ('HALE at age 60', 'All') | ('HALE at age 60', 'M') | ('HALE at age 60', 'F') | ('HALE at age 60', 'FΞM') | ('HALE at age 60', 'Ξ 2000') |\n|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|---:|---:|---:|:---|:---|\n| Japan | 84.3 | 81.5 | 86.9 | 5.4 | 3.2 | 74.1 | 72.6 | 75.5 | 2.9 | 2.5 | 26.3 | 23.9 | 28.6 | 4.7 | 2.2 | 20.4 | 18.8 | 21.8 | 3.0 | 1.7 |\n| Switzerland | 83.4 | 81.8 | 85.1 | 3.3 | 3.7 | 72.5 | 72.2 | 72.8 | 0.6 | 3.2 | 25.4 | 24.1 | 26.6 | 2.5 | 2.4 | 19.5 | 18.8 | 20.2 | 1.4 | 1.8 |\n| South Korea | 83.3 | 80.3 | 86.1 | 5.8 | 7.1 | 73.1 | 71.3 | 74.7 | 3.4 | 5.7 | 25.8 | 23.4 | 27.9 | 4.5 | 5.1 | 19.8 | 18.2 | 21.2 | 3.0 | 3.9 |\n| Singapore | 83.2 | 81 | 85.5 | 4.5 | 4.8 | 73.6 | 72.4 | 74.7 | 2.3 | 4.1 | 25.5 | 23.8 | 27.2 | 3.4 | 4.0 | 20 | 18.8 | 21 | 2.2 | 3.4 |\n| Spain | 83.2 | 80.7 | 85.7 | 5.0 | 4.1 | 72.1 | 71.3 | 72.9 | 1.6 | 3.0 | 25.4 | 23.3 | 27.3 | 4.0 | 2.7 | 19.2 | 18 | 20.3 | 2.3 | 1.9 |\n| Cyprus | 83.1 | 81.1 | 85.1 | 4.0 | 4.4 | 72.4 | 71.8 | 73 | 1.2 | 3.3 | 24.9 | 23.3 | 26.4 | 3.1 | 3.0 | 19 | 18.1 | 19.9 | 1.8 | 2.2 |\n| Italy | 83 | 80.9 | 84.9 | 4.0 | 3.6 | 71.9 | 71.2 | 72.6 | 1.4 | 2.9 | 25 | 23.4 | 26.5 | 3.1 | 2.5 | 18.9 | 17.9 | 19.8 | 1.9 | 1.8 |\n| Australia | 83 | 81.3 | 84.8 | 3.5 | 3.3 | 70.9 | 70.2 | 71.7 | 1.5 | 2.3 | 25.6 | 24.4 | 26.8 | 2.4 | 2.5 | 19 | 18.2 | 19.7 | 1.5 | 1.7 |\n| Israel | 82.6 | 80.8 | 84.4 | 3.6 | 4.0 | 72.4 | 72 | 72.7 | 0.7 | 3.2 | 24.9 | 23.6 | 26 | 2.4 | 3.0 | 19.3 | 18.7 | 19.9 | 1.2 | 2.2 |\n| Norway | 82.6 | 81.1 | 84.1 | 3.0 | 4.1 | 71.4 | 71 | 71.6 | 0.6 | 3.0 | 24.7 | 23.5 | 25.8 | 2.3 | 2.7 | 18.5 | 17.8 | 19.1 | 1.3 | 1.8 |\n| France | 82.5 | 79.8 | 85.1 | 5.3 | 3.6 | 72.1 | 71.1 | 73.1 | 2.0 | 2.8 | 25.3 | 23.3 | 27.2 | 3.9 | 2.3 | 19.7 | 18.5 | 20.8 | 2.3 | 1.7 |\n| Sweden | 82.4 | 80.8 | 84 | 3.2 | 2.8 | 71.9 | 71.7 | 72.1 | 0.4 | 2.0 | 24.5 | 23.3 | 25.6 | 2.3 | 2.1 | 18.9 | 18.3 | 19.4 | 1.1 | 1.5 |\n| Luxembourg | 82.4 | 80.6 | 84.2 | 3.6 | 4.2 | 71.6 | 71.1 | 72 | 0.9 | 3.3 | 24.4 | 22.9 | 25.8 | 2.9 | 2.6 | 18.5 | 17.7 | 19.3 | 1.6 | 1.8 |\n| Iceland | 82.3 | 80.8 | 83.9 | 3.1 | 2.6 | 72 | 71.7 | 72.3 | 0.6 | 2.2 | 24.6 | 23.7 | 25.5 | 1.8 | 2.0 | 19 | 18.6 | 19.4 | 0.8 | 1.6 |\n| Canada | 82.2 | 80.4 | 84.1 | 3.7 | 3.1 | 71.3 | 70.5 | 72 | 1.5 | 1.9 | 25.2 | 23.8 | 26.4 | 2.6 | 2.7 | 19 | 18.2 | 19.7 | 1.5 | 1.7 |\n| New Zealand | 82 | 80.4 | 83.5 | 3.1 | 3.4 | 70.2 | 69.6 | 70.8 | 1.2 | 2.4 | 24.8 | 23.8 | 25.8 | 2.0 | 2.4 | 18.6 | 17.9 | 19.2 | 1.3 | 1.7 |\n| Malta | 81.9 | 79.9 | 83.8 | 3.9 | 4.0 | 71.5 | 70.9 | 71.9 | 1.0 | 3.0 | 24.5 | 23 | 25.9 | 2.9 | 3.7 | 18.9 | 18 | 19.6 | 1.6 | 2.7 |\n| Netherlands | 81.8 | 80.4 | 83.1 | 2.7 | 3.8 | 71.4 | 71.3 | 71.5 | 0.2 | 2.6 | 24.1 | 23 | 25.1 | 2.1 | 2.8 | 18.4 | 17.9 | 18.9 | 1.0 | 1.8 |\n| Ireland | 81.8 | 80.2 | 83.5 | 3.3 | 5.4 | 71.1 | 70.7 | 71.4 | 0.7 | 4.0 | 24.2 | 23 | 25.3 | 2.3 | 4.0 | 18.6 | 18 | 19.2 | 1.2 | 2.9 |\n| Germany | 81.7 | 78.7 | 84.8 | 6.1 | 3.6 | 70.9 | 69.7 | 72.1 | 2.4 || 24.4 | 21.9 | 26.9 | 5.0 | 2.6 | 18.5 | 17 | 19.9 | 2.9 | 1.7 |\n| Portugal | 81.6 | 78.6 | 84.4 | 5.8 | 5.0 | 71 | 69.6 | 72.2 | 2.6 | 4.2 | 24.3 | 22.1 | 26.3 | 4.2 | 3.1 | 18.6 | 17.3 | 19.8 | 2.5 | 2.3 |\n| Finland | 81.6 | 79.2 | 84 | 4.8 | 4.0 | 71 | 69.9 | 72 | 2.1 | 3.2 | 24.2 | 22.4 | 25.8 | 3.4 | 2.6 | 18.5 | 17.3 | 19.5 | 2.2 | 2.0 |\n| Austria | 81.6 | 79.4 | 83.8 | 4.4 | 3.4 | 70.9 | 69.9 | 71.9 | 2.0 | 2.7 | 24.1 | 22.4 | 25.6 | 3.2 | 2.1 | 18.3 | 17.2 | 19.4 | 2.2 | 1.6 |\n| Belgium | 81.4 | 79.3 | 83.5 | 4.2 | 3.7 | 70.6 | 69.8 | 71.3 | 1.5 | 2.8 | 24 | 22.3 | 25.6 | 3.3 | 2.4 | 18.2 | 17.2 | 19.1 | 1.9 | 1.6 |\n| United Kingdom | 81.4 | 79.8 | 83 | 3.2 | 3.5 | 70.1 | 69.6 | 70.6 | 1.0 | 2.5 | 24.1 | 23 | 25.2 | 2.2 | 2.8 | 18.3 | 17.6 | 18.9 | 1.3 | 2.0 |\n| Denmark | 81.3 | 79.6 | 83 | 3.4 | 4.4 | 71 | 70.7 | 71.4 | 0.7 | 3.4 | 23.6 | 22.3 | 24.9 | 2.6 | 3.0 | 18.2 | 17.6 | 18.9 | 1.3 | 2.2 |\n| Slovenia | 81.3 | 78.6 | 84.1 | 5.5 | 5.2 | 70.7 | 69 | 72.5 | 3.5 | 4.2 | 23.8 | 21.8 | 25.6 | 3.8 | 3.3 | 17.8 | 16.4 | 19.2 | 2.8 | 2.5 |\n| Greece | 81.1 | 78.6 | 83.6 | 5.0 | 2.9 | 70.9 | 69.9 | 71.9 | 2.0 | 2.3 | 23.8 | 22.1 | 25.5 | 3.4 | 2.3 | 18.4 | 17.3 | 19.5 | 2.2 | 1.6 |\n| Kuwait | 81 | 79.3 | 83.9 | 4.6 | 3.1 | 70.1 | 69.5 | 71.1 | 1.6 | 2.4 | 24 | 22.8 | 25.9 | 3.1 | 1.8 | 17.8 | 17.1 | 18.9 | 1.8 | 1.3 |\n| Costa Rica | 80.8 | 78.3 | 83.4 | 5.1 | 2.8 | 70 | 68.6 | 71.3 | 2.7 | 2.0 | 25 | 23.6 | 26.4 | 2.8 | 2.6 | 18.7 | 17.8 | 19.5 | 1.7 | 1.8 |\n| Chile | 80.7 | 78.1 | 83.2 | 5.1 | 3.9 | 70 | 69 | 71.1 | 2.1 | 3.0 | 24.3 | 22.4 | 25.9 | 3.5 | 3.0 | 18.4 | 17.3 | 19.3 | 2.0 ||\n| Peru | 79.9 | 78.5 | 81.3 | 2.8 | 5.5 | 69.5 | 69.2 | 69.8 | 0.6 | 4.6 | 24.4 | 23.7 | 25.1 | 1.4 | 2.1 | 18.5 | 18.3 | 18.7 | 0.4 | 1.5 |\n| Maldives | 79.6 | 78.6 | 80.8 | 2.2 | 8.6 | 70 | 69.7 | 70 | 0.3 | 7.6 | 22.1 | 21.4 | 23.1 | 1.7 | 4.1 | 16.8 | 16.4 | 17.2 | 0.8 | 3.1 |\n| Colombia | 79.3 | 76.7 | 81.9 | 5.2 | 5.6 | 69 | 67.4 | 70.5 | 3.1 | 4.9 | 24 | 22.5 | 25.3 | 2.8 | 2.3 | 18.1 | 17.1 | 18.9 | 1.8 ||\n| Panama | 79.3 | 76.6 | 82.1 | 5.5 | 2.1 | 68.7 | 67.4 | 70 | 2.6 | 1.5 | 24.3 | 22.6 | 26 | 3.4 | 1.0 | 18.1 | 17.1 | 19.2 | 2.1 | 0.5 |\n| Czech Republic | 79.1 | 76.3 | 81.9 | 5.6 | 4.1 | 68.8 | 67 | 70.6 | 3.6 | 2.9 | 22.1 | 19.9 | 24 | 4.1 | 2.8 | 16.3 | 14.7 | 17.8 | 3.1 | 1.7 |\n| Estonia | 78.9 | 74.7 | 82.6 | 7.9 | 8.0 | 69.2 | 66.4 | 71.7 | 5.3 | 6.6 | 22.5 | 19.3 | 25 | 5.7 | 3.9 | 17.3 | 14.8 | 19.1 | 4.3 | 3.0 |\n| Croatia | 78.6 | 75.5 | 81.6 | 6.1 | 4.2 | 68.6 | 66.7 | 70.5 | 3.8 | 3.2 | 21.8 | 19.4 | 23.7 | 4.3 | 2.8 | 16.2 | 14.6 | 17.7 | 3.1 | 1.8 |\n| Turkey | 78.6 | 76.4 | 80.7 | 4.3 | 4.2 | 68.4 | 67.8 | 69 | 1.2 | 3.4 | 22 | 20.6 | 23.2 | 2.6 | 0.5 | 16.6 | 15.8 | 17.3 | 1.5 | 0.3 |\n| United States of America | 78.5 | 76.3 | 80.7 | 4.4 | 1.8 | 66.1 | 65.2 | 67 | 1.8 | 0.3 | 23.1 | 21.8 | 24.4 | 2.6 | 1.7 | 16.4 | 15.6 | 17.1 | 1.5 | 0.7 |\n| Ecuador | 78.4 | 76.4 | 80.5 | 4.1 | 3.9 | 68.5 | 67.7 | 69.3 | 1.6 | 3.3 | 23.2 | 22 | 24.3 | 2.3 | 1.3 | 17.6 | 17 | 18.2 | 1.2 | 0.8 |\n| Poland | 78.3 | 74.5 | 81.9 | 7.4 | 4.6 | 68.7 | 65.9 | 71.3 | 5.4 | 3.7 | 22.1 | 19.5 | 24.3 | 4.8 | 2.9 | 16.8 | 14.9 | 18.5 | 3.6 | 2.1 |\n| Slovakia | 78.2 | 74.8 | 81.4 | 6.6 | 4.9 | 68.5 | 66.2 | 70.8 | 4.6 | 3.8 | 21.8 | 19.3 | 23.9 | 4.6 | 3.3 | 16.6 | 14.6 | 18.2 | 3.6 | 2.4 |\n| Albania | 78 | 76.3 | 79.9 | 3.6 | 4.5 | 69.1 | 68 | 70.3 | 2.3 | 3.9 | 21 | 20.2 | 21.9 | 1.7 | 2.0 | 16.6 | 15.9 | 17.3 | 1.4 | 1.6 |\n| Jordan | 77.9 | 77 | 78.8 | 1.8 | 5.3 | 67.6 | 68.1 | 67.2 | β0.9 | 4.0 | 21.8 | 21.6 | 22.1 | 0.5 | 3.2 | 16.2 | 16.3 | 16.2 | β0.1 | 2.3 |\n| Cuba | 77.8 | 75.4 | 80.3 | 4.9 | 1.0 | 67.8 | 66.6 | 69.2 | 2.6 | 0.7 | 21.6 | 20 | 23.2 | 3.2 | 0.0 | 16.3 | 15.2 | 17.4 | 2.2 | β0.2 |\n| Thailand | 77.7 | 74.4 | 81 | 6.6 | 6.4 | 68.3 | 65.9 | 70.6 | 4.7 | 5.7 | 23.6 | 22.1 | 24.8 | 2.7 | 2.8 | 18 | 17 | 18.8 | 1.8 | 2.4 |\n| China | 77.4 | 74.7 | 80.5 | 5.8 || 68.5 | 67.2 | 70 | 2.8 | 4.8 | 21.1 | 19.2 | 23.1 | 3.9 | 2.7 | 15.9 | 15 | 16.9 | 1.9 ||\n| Iran | 77.3 | 75.7 | 79.1 | 3.4 | 4.7 | 66.3 | 66 | 66.5 | 0.5 | 3.7 | 21.8 | 21.2 | 22.5 | 1.3 | 2.1 | 15.7 | 15.6 | 15.8 | 0.2 | 1.4 |\n| Qatar | 77.2 | 78 | 76.6 | β1.4 | 5.9 | 67.1 | 68.1 | 65.1 | β3.0 | 4.7 | 19.5 | 20.6 | 18.4 | β2.2 | 3.6 | 14.2 | 15.1 | 13.1 | β2.0 | 2.6 |\n| Uruguay | 77.1 | 73.5 | 80.6 | 7.1 | 2.3 | 67.5 | 65.4 | 69.5 | 4.1 | 1.6 | 21.7 | 19 | 24 | 5.0 | 1.1 | 16.6 | 14.9 | 18.2 | 3.3 | 0.6 |\n| Algeria | 77.1 | 76.2 | 78.1 | 1.9 | 4.9 | 66.4 | 66.7 | 66.1 | β0.6 | 3.7 | 22 | 21.5 | 22.6 | 1.1 | 2.2 | 16 | 15.9 | 16.2 | 0.3 | 1.4 |\n| Tunisia | 77 | 74.9 | 79.2 | 4.3 | 2.9 | 66.9 | 66.1 | 67.7 | 1.6 | 2.1 | 21.5 | 20.2 | 22.8 | 2.6 | 1.4 | 16 | 15.1 | 16.8 | 1.7 | 0.9 |\n| Sri Lanka | 76.9 | 73.8 | 79.8 | 6.0 | 5.0 | 67 | 65.1 | 69 | 3.9 | 4.0 | 20.8 | 18.6 | 22.6 | 4.0 | 1.2 | 15.3 | 13.8 | 16.6 | 2.8 | 0.6 |\n| Bosnia and Herzegovina | 76.8 | 74.4 | 79.1 | 4.7 | 1.4 | 67.2 | 65.7 | 68.7 | 3.0 | 1.0 | 20.2 | 18.6 | 21.6 | 3.0 | 0.6 | 15.2 | 14.1 | 16.2 | 2.1 | 0.2 |\n| Argentina | 76.6 | 73.5 | 79.5 | 6.0 | 2.5 | 67.1 | 65.4 | 68.8 | 3.4 | 2.0 | 21.1 | 18.8 | 23.1 | 4.3 | 0.9 | 16.3 | 14.8 | 17.6 | 2.8 | 0.7 |\n| Antigua and Barbuda | 76.5 | 74.9 | 78 | 3.1 | 1.9 | 67 | 66.2 | 67.7 | 1.5 || 20.6 | 19.8 | 21.3 | 1.5 | 0.3 | 15.8 | 15.3 | 16.3 | 1.0 | 0.1 |\n| Hungary | 76.4 | 73.1 | 79.6 | 6.5 | 5.1 | 67.2 | 65 | 69.3 | 4.3 | 4.2 | 20.2 | 17.7 | 22.3 | 4.6 | 2.2 | 15.3 | 13.4 | 16.8 | 3.4 | 1.7 |\n| Lebanon | 76.4 | 74 | 79.2 | 5.2 | 1.8 | 66 | 65.1 | 67 | 1.9 | 1.3 | 20.5 | 18.8 | 22.4 | 3.6 | 0.7 | 15 | 13.9 | 16.2 | 2.3 | 0.1 |\n| Trinidad and Tobago | 76.1 | 72.5 | 79.9 | 7.4 | 6.4 | 66.2 | 64 | 68.6 | 4.6 | 4.8 | 22.7 | 20.4 | 25 | 4.6 || 17.2 | 15.6 | 18.9 | 3.3 | 3.2 |\n| United Arab Emirates | 76.1 | 75.1 | 78.4 | 3.3 | 2.9 | 66 | 65.8 | 66.2 | 0.4 | 2.1 | 19.9 | 19.2 | 21.7 | 2.5 | 1.2 | 14.5 | 14.1 | 15.3 | 1.2 | 0.9 |\n| Armenia | 76 | 72.5 | 79.2 | 6.7 | 4.1 | 67.1 | 64.9 | 69.1 | 4.2 | 3.6 | 20.4 | 18.2 | 22.1 | 3.9 | 1.6 | 15.7 | 14.2 | 16.9 | 2.7 | 1.2 |\n| Barbados | 76 | 74.3 | 77.7 | 3.4 | 1.5 | 67 | 66.2 | 67.7 | 1.5 | 1.0 | 20.9 | 19.9 | 21.8 | 1.9 | 0.2 | 16.3 | 15.7 | 16.9 | 1.2 | β0.1 |\n| Lithuania | 76 | 71.2 | 80.4 | 9.2 | 4.0 | 66.7 | 63.4 | 69.7 | 6.3 | 3.6 | 20.9 | 17.6 | 23.5 | 5.9 | 1.4 | 15.9 | 13.4 | 17.8 | 4.4 | 1.2 |\n| Jamaica | 76 | 74.4 | 77.7 | 3.3 | 1.8 | 66.6 | 65.9 | 67.3 | 1.4 | 1.2 | 21.3 | 20.1 | 22.6 | 2.5 | 0.3 | 16.4 | 15.5 | 17.3 | 1.8 | 0.1 |\n| Mexico | 76 | 73.1 | 78.9 | 5.8 | 1.6 | 65.8 | 64.3 | 67.2 | 2.9 | 1.2 | 21.8 | 20.5 | 23.1 | 2.6 | 0.2 | 16.1 | 15.3 | 16.8 | 1.5 | 0.3 |\n| Montenegro | 75.9 | 73.2 | 78.7 | 5.5 | 2.3 | 67 | 65.2 | 68.7 | 3.5 | 1.8 | 19.4 | 17.4 | 21.3 | 3.9 | 0.2 | 14.9 | 13.5 | 16.3 | 2.8 | 0.0 |\n| Serbia | 75.9 | 73.5 | 78.3 | 4.8 | 4.5 | 66.9 | 65.4 | 68.4 | 3.0 | 3.5 | 19.6 | 17.9 | 21.1 | 3.2 | 2.5 | 14.9 | 13.7 | 16 | 2.3 | 1.7 |\n| Brazil | 75.9 | 72.4 | 79.4 | 7.0 | 4.4 | 65.4 | 63.4 | 67.4 | 4.0 | 3.7 | 21.9 | 20.1 | 23.5 | 3.4 | 2.2 | 16.4 | 15.2 | 17.4 | 2.2 | 1.6 |\n| Bahrain | 75.8 | 75 | 77 | 2.0 | 5.3 | 65.9 | 66 | 65.5 | β0.5 | 4.0 | 19 | 18.7 | 19.4 | 0.7 | 4.0 | 13.8 || 13.9 | 0.1 | 2.7 |\n| Paraguay | 75.8 | 73.1 | 78.8 | 5.7 | 1.0 | 65.8 | 64.5 | 67.3 | 2.8 | 0.8 | 21.8 | 20.2 | 23.5 | 3.3 | β0.2 | 16.5 | 15.4 | 17.6 | 2.2 | β0.3 |\n| Libya | 75.8 | 74.2 | 77.3 | 3.1 | 1.4 | 65.2 | 64.9 | 65.5 | 0.6 || 21.3 | 20.5 | 21.9 | 1.4 | 0.3 | 15.5 | 15.3 | 15.8 | 0.5 | β0.1 |\n| Romania | 75.6 | 72 | 79.3 | 7.3 | 4.2 | 66.8 | 64.3 | 69.4 | 5.1 | 3.5 | 20.3 | 17.8 | 22.4 | 4.6 | 2.1 | 15.7 | 13.8 | 17.3 | 3.5 | 1.6 |\n| Latvia | 75.4 | 70.6 | 79.8 | 9.2 | 5.2 | 66.2 | 62.9 | 69.3 | 6.4 | 4.6 | 20.5 | 17.2 | 23 | 5.8 | 2.2 | 15.6 | 13.2 | 17.4 | 4.2 | 1.7 |\n| Bulgaria | 75.1 | 71.6 | 78.6 | 7.0 | 3.5 | 66.3 | 63.9 | 68.7 | 4.8 | 2.8 | 19.8 | 17.4 | 22 | 4.6 | 2.2 | 15.2 | 13.4 | 16.9 | 3.5 | 1.5 |\n| Nicaragua | 75 | 72.1 | 77.9 | 5.8 | 1.7 | 65.5 | 63.7 | 67.2 | 3.5 | 1.8 | 20 | 18 | 21.9 | 3.9 | β0.1 | 15.1 | 13.7 | 16.3 | 2.6 | 0.0 |\n| El Salvador | 75 | 70.6 | 79.1 | 8.5 | 2.5 | 64.9 | 61.6 | 67.8 | 6.2 | 2.2 | 22.1 | 20.4 | 23.6 | 3.2 | 0.7 | 16.4 | 15.1 | 17.4 | 2.3 | 0.3 |\n| North Macedonia | 74.8 | 72.8 | 76.9 | 4.1 | 3.7 | 66.1 | 65.1 | 67.3 | 2.2 | 2.9 | 18.3 | 17 | 19.6 | 2.6 | 1.9 | 14 | 13.1 | 14.9 | 1.8 | 1.3 |\n| Belarus | 74.8 | 69.7 | 79.6 | 9.9 | 6.0 | 66 | 62.3 | 69.4 | 7.1 | 5.2 | 19.7 | 16 | 22.5 | 6.5 | 2.5 | 15.1 | 12.3 | 17.2 | 4.9 | 2.0 |\n| Malaysia | 74.7 | 72.6 | 77.1 | 4.5 | 1.9 | 65.7 | 64.5 | 66.9 | 2.4 | 1.7 | 19.5 | 18.5 | 20.6 | 2.1 | 1.4 | 14.6 | 14 | 15.3 | 1.3 | 1.1 |\n| Belize | 74.4 | 71.4 | 77.8 | 6.4 | 4.1 | 65.3 | 63.5 | 67.3 | 3.8 | 3.0 | 21.5 | 20.3 | 22.9 | 2.6 | 2.8 | 16.7 | 15.9 | 17.6 | 1.7 | 2.0 |\n| Brunei Darussalam | 74.3 | 73.4 | 75.4 | 2.0 | 2.1 | 65.6 | 65.2 | 66.1 | 0.9 | 1.7 | 19.2 | 19 | 19.4 | 0.4 | 2.4 | 14.5 | 14.3 | 14.7 | 0.4 | 1.9 |\n| Saint Lucia | 74.3 | 71.3 | 77.7 | 6.4 | 1.1 | 64.7 | 63 | 66.6 | 3.6 | 0.7 | 20.9 | 19.2 | 22.9 | 3.7 | 0.9 | 15.8 | 14.7 | 17.1 | 2.4 | 0.6 |\n| Bangladesh | 74.3 | 73 | 75.6 | 2.6 | 8.7 | 64.3 | 64.2 | 64.4 | 0.2 | 7.3 | 20.9 | 20.3 | 21.5 | 1.2 | 3.1 | 15.5 | 15.4 | 15.7 | 0.3 | 2.2 |\n| Saudi Arabia | 74.3 | 73.1 | 76.1 | 3.0 | 3.8 | 64 | 63.8 | 64.4 | 0.6 | 2.8 | 19.9 | 19.3 | 20.8 | 1.5 | 2.4 | 14 | 13.8 | 14.4 | 0.6 | 1.6 |\n| Kyrgyzstan | 74.2 | 70.7 | 77.3 | 6.6 | 8.2 | 65.8 | 63.6 | 67.7 | 4.1 | 7.1 | 20 | 17.8 | 21.7 | 3.9 | 3.3 | 15.7 | 14.2 | 16.8 | 2.6 ||\n| Mauritius | 74.1 | 71 | 77.3 | 6.3 | 2.9 | 63.9 | 62 | 65.9 | 3.9 | 2.0 | 20.3 | 18.5 | 22 | 3.5 | 2.5 | 14.5 | 13.3 | 15.6 | 2.3 | 1.6 |\n| Kazakhstan | 74 | 70 | 77.6 | 7.6 | 10.9 | 65 | 62.4 | 67.4 | 5.0 | 8.9 | 19.5 | 16.8 | 21.4 | 4.6 | 4.2 | 14.8 | 13 | 16.2 | 3.2 | 3.0 |\n| Cabo Verde | 74 | 69.9 | 77.9 | 8.0 | 3.0 | 64.8 | 62.2 | 67.2 | 5.0 | 2.8 | 19.7 | 16.8 | 21.8 | 5.0 | β0.7 | 14.9 | 13 | 16.3 | 3.3 | β0.5 |\n| Oman | 73.9 | 73 | 75.3 | 2.3 | 4.8 | 64.7 | 64.5 || 0.0 | 3.8 | 17.8 | 17.2 | 18.5 | 1.3 | 2.2 | 13.2 | 12.9 | 13.5 | 0.6 | 1.5 |\n| Venezuela | 73.9 | 69.9 | 78.2 | 8.3 | β0.2 | 64.4 | 61.9 | 67.1 | 5.2 | β0.3 | 21.7 | 19.7 | 23.6 | 3.9 | 0.4 | 16.3 | 15 | 17.5 | 2.5 | 0.3 |\n| Viet Nam | 73.7 | 69.6 | 78.1 | 8.5 | 2.3 | 65.3 | 62.4 | 68.3 | 5.9 | 2.0 | 19.6 | 16.9 | 22 | 5.1 | 0.7 | 14.8 | 12.9 | 16.4 | 3.5 | 0.5 |\n| Georgia | 73.3 | 68.8 | 77.8 | 9.0 | 3.9 | 64.7 | 61.4 | 67.9 | 6.5 | 2.8 | 18.8 | 16 | 21 | 5.0 | 1.8 | 14.4 | 12.4 | 16.1 | 3.7 | 1.0 |\n| Moldova | 73.3 | 69.3 | 77.1 | 7.8 | 6.4 | 64.5 | 61.9 | 67.1 | 5.2 || 19 | 16.6 | 20.9 | 4.3 | 3.2 | 14.6 | 12.8 | 16 | 3.2 | 2.5 |\n| Seychelles | 73.3 | 70 | 77.1 | 7.1 | 1.4 | 64 | 61.9 | 66.4 | 4.5 | 0.9 | 19.5 | 17.5 | 21.5 | 4.0 | 0.5 | 14.1 | 12.7 | 15.4 | 2.7 | 0.2 |\n| World | 73.3 | 70.8 | 75.9 | 5.1 | 6.5 | 63.7 | 62.5 | 64.9 | 2.4 | 5.4 | 21.1 | 19.5 | 22.7 | 3.2 | 2.3 | 15.8 | 14.8 | 16.6 | 1.8 | 1.7 |\n| Bahamas | 73.2 | 69.9 | 76.6 | 6.7 | 2.3 | 64.4 | 62.3 | 66.5 | 4.2 | 1.7 | 20.8 | 19.1 | 22.4 | 3.3 | 0.9 | 16.2 | 14.9 | 17.3 | 2.4 | 0.6 |\n| Russia | 73.2 | 68.2 | 78 | 9.8 | 7.9 | 64.2 | 60.7 | 67.5 | 6.8 | 6.9 | 19.9 | 16.8 | 22.2 | 5.4 | 3.5 | 15 | 12.8 | 16.7 | 3.9 | 2.7 |\n| Saint Vincent and the Grenadines | 73.2 | 71.3 | 75.3 | 4.0 | 2.6 | 64 | 62.9 | 65.1 | 2.2 | 1.8 | 20.9 | 20.2 | 21.6 | 1.4 | 2.4 | 15.9 | 15.4 | 16.4 | 1.0 | 1.6 |\n| Bhutan | 73.1 | 72 | 74.4 | 2.4 | 7.4 | 63.4 | 63.2 | 63.5 | 0.3 | 6.3 | 19.4 | 18.9 | 19.9 | 1.0 | 1.5 | 14.5 | 14.3 | 14.7 | 0.4 | 1.0 |\n| Uzbekistan | 73 | 70.8 | 75.2 | 4.4 | 7.7 | 64.7 | 63.5 | 65.8 | 2.3 | 6.6 | 18.6 | 17.3 | 19.8 | 2.5 | 2.6 | 14.5 | 13.7 | 15.3 | 1.6 | 1.9 |\n| Ukraine | 73 | 68 | 77.8 | 9.8 | 5.5 | 64.3 | 60.6 | 67.8 | 7.2 | 4.6 | 19.5 | 16.4 | 21.7 | 5.3 | 2.7 | 15 | 12.7 | 16.7 | 4.0 | 2.2 |\n| Morocco | 73 | 71.7 | 74.3 | 2.6 | 3.7 | 63.7 ||| 0.0 | 3.0 | 18.7 | 17.7 | 19.6 | 1.9 | 0.3 | 14.1 | 13.7 | 14.6 | 0.9 | 0.0 |\n| Grenada | 72.9 | 70.6 | 75.3 | 4.7 | 0.9 | 63.9 | 62.6 | 65.4 | 2.8 | 0.3 | 18.7 | 17.2 | 20.3 | 3.1 | 0.8 | 14.3 | 13.1 | 15.6 | 2.5 | 0.4 |\n| Dominican Republic | 72.8 | 69.8 | 76.2 | 6.4 | β0.4 | 64 | 62.1 | 66.1 | 4.0 | β0.1 | 20.6 | 19 | 22.4 | 3.4 | β1.8 | 16 | 14.8 | 17.2 | 2.4 | β1.3 |\n| Syria | 72.7 | 71.2 | 74.3 | 3.1 | 1.2 | 62.9 | 62.5 | 63.3 | 0.8 | 0.1 | 18.7 | 18.2 | 19.3 | 1.1 || 13.9 | 13.8 | 14.2 | 0.4 | 0.5 |\n| North Korea | 72.6 | 69.3 | 75.7 | 6.4 | 8.6 | 65 | 63.3 | 66.6 | 3.3 | 7.2 | 19.1 | 16.8 | 20.8 | 4.0 | 3.6 | 14.9 | 13.6 | 15.8 | 2.2 | 2.6 |\n| Tonga | 72.6 | 69.8 | 75.6 | 5.8 | 1.7 | 64 | 62.7 | 65.5 | 2.8 | 1.1 | 19 | 17 | 21.2 | 4.2 | 1.0 | 14.5 | 13.3 | 15.7 | 2.4 | 0.7 |\n| Iraq | 72.4 | 69.9 | 75 | 5.1 | 3.6 | 62.7 | 61.6 | 63.7 | 2.1 | 3.2 | 19.2 | 17.6 | 20.7 | 3.1 | 0.9 | 14.2 | 13.3 | 15 | 1.7 | 0.7 |\n| Bolivia | 72.1 | 71.1 | 73.1 | 2.0 | 6.1 | 63.3 | 63.2 | 63.3 | 0.1 | 5.4 | 18.6 | 18 | 19.1 | 1.1 | 0.8 | 14.2 | 14 | 14.4 | 0.4 | 0.6 |\n| Guatemala | 72 | 69 | 75 | 6.0 | 5.2 | 62.3 | 60.5 | 64.1 | 3.6 | 4.5 | 20.5 | 19.4 | 21.4 | 2.0 | 1.4 | 15 | 14.4 | 15.5 | 1.1 | 0.9 |\n| Honduras | 71.9 | 70.7 | 73.2 | 2.5 | 1.9 | 63 | 62.7 | 63.3 | 0.6 | 1.8 | 18.3 | 17.5 | 19.1 | 1.6 | β1.3 | 13.8 | 13.4 | 14.2 | 0.8 | β0.9 |\n| Egypt | 71.8 | 69.6 | 74.1 | 4.5 | 2.0 | 63 | 62.3 | 63.7 | 1.4 | 1.8 | 17.8 | 16.5 | 19.1 | 2.6 | β0.7 | 13.4 | 12.7 | 14 | 1.3 | β0.5 |\n| Suriname | 71.5 | 68.5 | 74.6 | 6.1 | 1.6 | 62.4 | 60.7 | 64.2 | 3.5 | 1.1 | 18.5 | 16.4 | 20.5 | 4.1 | β0.4 | 14.1 | 12.6 | 15.4 | 2.8 | β0.4 |\n| Azerbaijan | 71.4 | 68.8 | 74.1 | 5.3 | 5.9 | 63.6 | 62.1 | 65.2 | 3.1 | 5.1 | 17.1 | 15.6 | 18.3 | 2.7 | 0.5 | 13.4 | 12.4 | 14.2 | 1.8 | 0.3 |\n| Indonesia | 71.3 | 69.4 | 73.3 | 3.9 | 4.1 | 62.8 | 61.9 | 63.8 | 1.9 | 3.8 | 17.9 | 16.7 | 19.1 | 2.4 | 0.3 | 13.4 | 12.7 | 14 | 1.3 | 0.4 |\n| Nepal | 70.9 | 68.9 | 72.7 | 3.8 | 5.6 | 61.3 | 60.6 | 62.1 | 1.5 | 5.0 | 18 | 16.8 | 19.2 | 2.4 | 0.4 | 13.3 | 12.7 | 13.8 | 1.1 | 0.5 |\n| India | 70.8 | 69.5 | 72.2 | 2.7 | 8.7 | 60.3 || 60.4 | 0.1 | 7.4 | 18.8 | 18.1 | 19.5 | 1.4 | 2.7 | 13.2 | 13 | 13.5 | 0.5 | 1.9 |\n| Samoa | 70.5 | 69.2 | 71.8 | 2.6 | 2.0 | 62.1 | 61.8 | 62.5 | 0.7 | 1.4 | 17.9 | 17.4 | 18.3 | 0.9 | 0.8 | 13.4 | 13.3 | 13.5 | 0.2 | 0.5 |\n| Philippines | 70.4 | 67.4 | 73.6 | 6.2 | 1.4 | 62 | 60.1 | 63.9 | 3.8 | 1.4 | 17.8 | 15.8 | 19.6 | 3.8 | 0.2 | 13.4 | 12.1 | 14.6 | 2.5 | 0.1 |\n| Sao Tome and Principe | 70.4 | 68.8 | 72 | 3.2 | 6.9 | 61.6 | 60.9 | 62.2 | 1.3 | 6.0 | 17.7 | 16.7 | 18.6 | 1.9 | 0.6 | 13.1 | 12.6 | 13.7 | 1.1 | 0.5 |\n| Cambodia | 70.1 | 67.2 | 72.7 | 5.5 | 11.4 | 61.5 | 59.8 | 63 | 3.2 | 10.1 | 17.7 | 15.9 | 19.1 | 3.2 | 1.9 | 13.2 | 12 | 14.1 | 2.1 | 1.4 |\n| Turkmenistan | 69.7 | 66.5 | 73 | 6.5 | 6.4 | 62.1 | 59.9 | 64.3 | 4.4 | 5.5 | 18.7 | 17.1 | 20.1 | 3.0 | 2.4 | 14.7 | 13.6 | 15.6 | 2.0 | 1.8 |\n| Timor-Leste | 69.6 | 67.9 | 71.4 | 3.5 | 6.9 | 60.9 | 59.8 | 62 | 2.2 | 7.8 | 17.9 | 16.9 | 18.9 | 2.0 | 0.0 | 13.2 | 12.5 | 13.8 | 1.3 | 0.7 |\n| Tajikistan | 69.5 | 67.6 | 71.5 | 3.9 || 62 | 60.9 | 63.2 | 2.3 | 3.7 | 16.1 | 15.1 | 17.2 | 2.1 | β1.1 | 12.7 | 12.1 | 13.4 | 1.3 | β0.9 |\n| Myanmar | 69.1 | 65.9 | 72.2 | 6.3 | 9.1 | 60.9 | 58.8 | 62.8 | 4.0 | 8.0 | 18.1 | 16.2 | 19.6 | 3.4 | 2.7 | 13.6 | 12.4 | 14.6 | 2.2 | 1.9 |\n| Rwanda | 69.1 | 66.9 | 71.2 | 4.3 | 21.6 | 60.2 | 59 | 61.4 | 2.4 | 19.0 | 18 | 16.6 | 19.2 | 2.6 | 4.6 | 13.6 | 12.7 | 14.4 | 1.7 | 3.6 |\n| Sudan | 69.1 | 67.6 | 70.8 | 3.2 | 6.6 | 59.9 | 59.6 | 60.3 | 0.7 | 5.6 | 18.6 | 17.8 | 19.4 | 1.6 | 1.3 | 13.6 | 13.3 | 14 | 0.7 | 1.0 |\n| Ethiopia | 68.7 | 66.9 | 70.5 | 3.6 | 18.1 | 59.9 | 59 | 60.8 | 1.8 | 15.6 | 18.4 | 17.4 | 19.4 | 2.0 | 4.3 | 13.9 | 13.3 | 14.4 | 1.1 | 3.3 |\n| Senegal | 68.6 | 66.8 | 70.1 | 3.3 | 10.0 | 59.4 | 58.8 | 59.9 | 1.1 | 8.6 | 18.1 | 17.2 | 18.9 | 1.7 | 1.5 | 13.1 | 12.6 | 13.5 | 0.9 | 1.1 |\n| Laos | 68.5 | 66.2 | 70.9 | 4.7 | 10.1 | 60.5 | 59.2 | 61.9 | 2.7 | 8.7 | 17.6 | 16.3 | 18.9 | 2.6 | 2.3 | 13.3 | 12.5 | 14 | 1.5 | 1.7 |\n| Mauritania | 68.4 | 68.1 | 68.7 | 0.6 | 6.4 | 59.8 | 60.2 | 59.4 | β0.8 | 5.4 | 19 | 19.1 | 18.9 | β0.2 | 1.9 | 14.3 | 14.6 | 14.1 | β0.5 | 1.5 |\n| Mongolia | 68.1 | 63.8 | 72.8 | 9.0 | 7.6 | 60.3 | 57.1 | 63.8 | 6.7 | 6.5 | 16.4 | 14.2 | 18.5 | 4.3 | 3.0 | 12.6 | 11 | 14.2 | 3.2 | 2.3 |\n| Fiji | 68 | 65.9 | 70.3 | 4.4 | 2.1 | 59.6 | 58.5 | 60.7 | 2.2 | 1.5 | 16.2 | 14.9 | 17.5 | 2.6 | 1.5 | 11.8 | 11.1 | 12.6 | 1.5 | 0.9 |\n| Comoros | 67.4 | 65.9 | 68.9 | 3.0 | 5.9 | 58.9 | 58.3 | 59.6 | 1.3 | 5.1 | 18.1 | 17.4 | 18.8 | 1.4 | 1.8 | 13.7 | 13.2 | 14.1 | 0.9 | 1.4 |\n| Tanzania | 67.3 | 65.4 | 69.3 | 3.9 | 14.8 | 58.5 | 57.6 | 59.3 | 1.7 | 13.1 | 18.2 | 17.1 | 19.1 | 2.0 | 2.2 | 13.4 | 12.7 | 13.9 | 1.2 | 1.7 |\n| Uganda | 66.7 | 63.2 | 70.1 | 6.9 | 17.9 | 58.2 | 56 | 60.4 | 4.4 | 15.7 | 17.7 | 15.7 | 19.4 | 3.7 | 3.0 | 13.4 | 12 | 14.6 | 2.6 | 2.3 |\n| Yemen | 66.6 | 64.4 | 68.9 | 4.5 | 3.9 | 57.5 | 56.9 | 58.2 | 1.3 | 3.0 | 17.8 | 16.8 | 18.7 | 1.9 | 1.0 | 13.3 | 12.8 | 13.7 | 0.9 | 0.7 |\n| Gabon | 66.5 | 63.6 | 69.7 | 6.1 | 8.4 | 57.6 | 56 | 59.3 | 3.3 | 7.1 | 17.2 | 15.2 | 19.3 | 4.1 | 2.0 | 12.8 | 11.4 | 14.2 | 2.8 | 1.5 |\n| Ghana | 66.3 | 63.7 | 69.2 | 5.5 | 7.1 | 58 | 56.5 | 59.6 | 3.1 | 6.1 | 17.2 | 15.7 | 18.9 | 3.2 | 1.2 | 12.9 | 11.9 | 14 | 2.1 | 0.9 |\n| Kenya | 66.1 | 63.7 | 68.4 | 4.7 | 12.2 | 57.7 | 56.4 | 58.9 | 2.5 | 10.8 | 17.6 | 16 | 19.1 | 3.1 | 1.3 | 13.1 | 11.9 | 14 | 2.1 | 1.3 |\n| Djibouti | 65.8 | 64.1 | 67.8 | 3.7 | 6.0 | 58 | 57.2 | 58.9 | 1.7 | 5.3 | 17.8 | 16.6 | 19 | 2.4 | 1.5 | 13.6 | 12.9 | 14.4 | 1.5 | 1.1 |\n| Guyana | 65.7 | 62.5 | 69.4 | 6.9 | 2.7 | 57.2 | 55.1 | 59.7 | 4.6 | 2.2 | 16.6 | 15.1 | 18.1 | 3.0 | 0.7 | 12.5 | 11.5 | 13.6 | 2.1 | 0.4 |\n| Malawi | 65.6 | 62.3 | 68.9 | 6.6 | 20.9 | 57.1 | 55.1 | 59 | 3.9 | 18.0 | 17.2 | 15.1 | 19 | 3.9 | 3.2 | 12.8 | 11.3 | 14 | 2.7 | 2.5 |\n| Pakistan | 65.6 | 64.6 | 66.7 | 2.1 | 5.5 | 56.9 || 56.8 | β0.1 | 4.6 | 17.3 | 16.8 | 17.8 | 1.0 | 1.6 | 12.6 | 12.5 | 12.6 | 0.1 | 1.1 |\n| Gambia | 65.5 | 63.4 | 67.7 | 4.3 | 6.3 | 57 | 56.4 | 57.7 | 1.3 | 5.3 | 16.9 | 15.8 | 18 | 2.2 | 0.7 | 12.6 | 12.1 | 13.2 | 1.1 | 0.4 |\n| Vanuatu | 65.3 | 62.7 | 68.3 | 5.6 | 1.4 | 57.8 | 56.4 | 59.4 | 3.0 | 1.0 | 15.7 | 14.8 | 16.7 | 1.9 | 0.7 | 11.9 | 11.5 | 12.4 | 0.9 | 0.4 |\n| Madagascar | 65.3 | 64.1 | 66.6 | 2.5 | 6.5 | 57.3 | 56.9 | 57.7 | 0.8 | 6.0 | 16.8 | 16.1 | 17.3 | 1.2 | 1.4 | 12.6 | 12.3 | 12.9 | 0.6 | 1.1 |\n| Papua New Guinea | 65.3 | 63.4 | 67.4 | 4.0 | 2.0 | 57.1 | 56.2 | 58.1 | 1.9 | 1.8 | 16.5 | 15.4 | 17.6 | 2.2 | 0.1 | 12.3 | 11.7 | 12.8 | 1.1 | 0.1 |\n| South Africa | 65.3 | 62.2 | 68.3 | 6.1 | 9.5 | 56.2 | 54.6 | 57.7 | 3.1 | 7.7 | 19.1 | 17.3 | 20.5 | 3.2 | 2.9 | 13.9 | 12.7 | 14.8 | 2.1 | 2.0 |\n| Solomon Islands | 65.2 | 62.9 | 67.9 | 5.0 | 2.7 | 57.8 | 56.5 | 59.1 | 2.6 | 2.1 | 15.5 | 14.7 | 16.3 | 1.6 | 1.1 | 11.8 | 11.4 | 12.2 | 0.8 | 0.7 |\n| Congo, Republic of | 64.7 | 63.8 | 65.6 | 1.8 | 12.6 | 56.2 | 56.4 | 56.1 | β0.3 | 10.8 | 16.4 | 15.7 | 17.1 | 1.4 | 2.5 | 12.2 | 11.9 | 12.5 | 0.6 | 1.9 |\n| Namibia | 64.6 | 60.6 | 68.4 | 7.8 | 11.3 | 56.1 | 53.4 | 58.6 | 5.2 | 9.5 | 17.2 | 14.7 | 19.3 | 4.6 | 2.6 | 12.7 | 10.8 | 14.2 | 3.4 | 1.9 |\n| Togo | 64.3 | 61.5 | 67.2 | 5.7 | 8.4 | 56.2 | 54.7 | 57.8 | 3.1 | 7.3 | 17 | 15.4 | 18.6 | 3.2 | 1.3 | 12.8 | 11.8 | 13.8 | 2.0 | 1.1 |\n| Haiti | 64.1 | 63.3 | 64.8 | 1.5 | 7.1 | 55.8 | 55.9 | 55.8 | β0.1 | 5.8 | 16.8 | 16.5 | 17 | 0.5 | 1.0 | 12.8 | 12.7 | 12.9 | 0.2 | 0.7 |\n| Eritrea | 64.1 | 61.3 | 67.1 | 5.8 | 9.6 | 55.7 | 53.9 | 57.7 | 3.8 | 8.7 | 15.5 | 14.1 | 16.8 | 2.7 | 2.0 | 11.4 | 10.4 | 12.4 | 2.0 | 1.5 |\n| Liberia | 64.1 | 63.2 | 65 | 1.8 | 10.3 | 54.9 || 55 | 0.1 | 9.1 | 17.7 | 17.4 | 18 | 0.6 | 1.9 | 12.9 | 12.8 | 12.9 | 0.1 | 1.5 |\n| Burundi | 63.8 | 61.5 | 66.1 | 4.6 | 20.0 | 55.6 | 54 | 57.2 | 3.2 | 17.5 | 16.5 | 15.2 | 17.6 | 2.4 | 3.5 | 12.7 | 11.8 | 13.5 | 1.7 | 2.8 |\n| Benin | 63.4 | 61.2 | 65.7 | 4.5 | 6.8 | 55.5 | 54.5 | 56.6 | 2.1 | 5.9 | 17.4 | 16.1 | 18.5 | 2.4 | 1.3 | 13 | 12.3 | 13.7 | 1.4 | 0.9 |\n| Niger | 63.3 | 62.1 | 64.6 | 2.5 | 12.9 | 55.5 | 55.3 | 55.8 | 0.5 | 11.3 | 17.2 | 16.6 | 17.8 | 1.2 | 1.4 | 13 | 12.7 | 13.3 | 0.6 | 1.0 |\n| Afghanistan | 63.2 | 63.3 | 63.2 | β0.1 | 8.2 | 53.9 | 54.7 | 53.2 | β1.5 | 7.1 | 15.2 | 15.4 | 15.1 | β0.3 | 1.3 | 10.8 | 11.2 | 10.6 | β0.6 | 0.6 |\n| Angola | 63.1 | 60.7 | 65.5 | 4.8 | 13.8 | 54.8 | 53.6 | 56.2 | 2.6 | 11.9 | 17 | 15.4 | 18.6 | 3.2 | 2.6 | 12.6 | 11.6 | 13.7 | 2.1 | 1.9 |\n| Federated States of Micronesia | 63 | 60.3 | 66 | 5.7 | 1.8 | 56 | 54.4 | 57.8 | 3.4 | 1.5 | 14.7 | 13.8 | 15.6 | 1.8 | 0.1 | 11.1 | 10.7 | 11.6 | 0.9 | β0.1 |\n| CΓ΄te d'Ivoire | 62.9 | 60.5 | 65.8 | 5.3 | 12.6 | 54.8 | 53.4 | 56.5 | 3.1 | 10.8 | 17.1 | 15.8 | 18.7 | 2.9 | 2.6 | 12.7 | 11.9 | 13.7 | 1.8 | 2.0 |\n| Mali | 62.8 | 62.2 | 63.4 | 1.2 | 10.2 | 54.6 | 54.8 | 54.5 | β0.3 | 9.0 | 17.5 | 17.3 | 17.6 | 0.3 | 1.5 | 12.8 | 12.9 | 12.7 | β0.2 | 1.1 |\n| South Sudan | 62.8 | 60.8 | 64.8 | 4.0 | 8.7 | 53.7 | 52.9 | 54.5 | 1.6 | 7.3 | 17.8 | 16.6 | 18.9 | 2.3 | 1.5 | 12.7 | 12.2 | 13.1 | 0.9 | 1.1 |\n| Burkina Faso | 62.7 | 60.1 | 65.2 | 5.1 | 11.1 | 54.9 | 53.4 | 56.3 | 2.9 | 10.0 | 16.8 | 15.2 | 18.1 | 2.9 | 1.3 | 12.6 | 11.6 | 13.4 | 1.8 | 1.1 |\n| Nigeria | 62.6 | 61.2 | 64.1 | 2.9 | 9.0 | 54.4 | 53.9 | 54.9 | 1.0 | 7.9 | 18.2 | 17.6 | 18.9 | 1.3 | 2.0 | 13.5 | 13.3 | 13.8 | 0.5 | 1.5 |\n| Zambia | 62.5 | 59.5 | 65.4 | 5.9 | 18.0 | 54.4 | 52.5 | 56.3 | 3.8 | 15.4 | 16.5 | 14.7 | 18 | 3.3 || 12.6 | 11.3 | 13.7 | 2.4 | 2.6 |\n| Cameroon | 62.4 | 60.3 | 64.5 | 4.2 | 9.6 | 54.5 | 53.5 | 55.6 | 2.1 | 8.4 | 17.1 | 15.8 | 18.3 | 2.5 | 2.0 | 12.8 | 12 | 13.5 | 1.5 | 1.7 |\n| Congo, Democratic Republic of | 62.4 | 60 | 64.8 | 4.8 | 10.0 | 54.1 | 52.8 | 55.4 | 2.6 | 8.8 | 16.6 | 15.4 | 17.9 | 2.5 | 1.7 | 12.5 | 11.7 | 13.4 | 1.7 | 1.3 |\n| Equatorial Guinea | 62.2 | 60.9 | 63.6 | 2.7 | 7.9 | 53.9 | 53.4 | 54.1 | 0.7 | 7.1 | 17.6 | 16.5 | 18.8 | 2.3 | 2.1 | 12.9 | 12.3 | 13.6 | 1.3 | 1.7 |\n| Botswana | 62.2 | 58.9 | 65.5 | 6.6 | 16.6 | 53.9 | 51.9 | 55.8 | 3.9 | 13.8 | 16.2 | 14.2 | 18 | 3.8 | 3.3 | 11.8 | 10.3 | 13.1 | 2.8 | 2.4 |\n| Guinea | 61 | 59.5 | 62.3 | 2.8 | 6.7 | 53.3 | 52.9 | 53.7 | 0.8 | 5.8 | 16.5 | 15.6 | 17.2 | 1.6 | 0.8 | 12.3 | 11.8 | 12.6 | 0.8 | 0.6 |\n| Sierra Leone | 60.8 | 59.6 | 61.9 | 2.3 | 12.1 | 52.9 | 52.5 | 53.3 | 0.8 | 10.7 | 17 | 16.4 | 17.4 | 1.0 | 1.6 | 12.6 | 12.4 | 12.8 | 0.4 | 1.3 |\n| Zimbabwe | 60.7 | 57.5 | 63.6 | 6.1 | 14.1 | 53.1 | 51.2 | 54.8 | 3.6 | 12.1 | 15.6 | 13.6 | 17 | 3.4 | 1.2 | 11.5 | 10.2 | 12.4 | 2.2 | 0.9 |\n| Guinea-Bissau | 60.2 | 57.4 | 63 | 5.6 | 9.9 | 52.6 | 51.1 | 54.1 | 3.0 | 8.6 | 15.5 | 13.9 | 16.7 | 2.8 | 1.7 | 11.4 | 10.5 | 12.1 | 1.6 | 1.3 |\n| Chad | 59.6 | 58 | 61.3 | 3.3 | 8.5 | 52 | 51.3 | 52.8 | 1.5 | 7.3 | 16.5 | 15.7 | 17.3 | 1.6 || 12.3 | 11.8 | 12.7 | 0.9 | 1.2 |\n| Kiribati | 59.4 | 56.1 | 62.8 | 6.7 | 3.7 | 52.6 | 50.5 | 54.9 | 4.4 | 3.0 | 13.7 | 12.5 | 14.6 | 2.1 | 1.1 | 10.3 | 9.5 | 11 | 1.5 | 0.7 |\n| Mozambique | 58.1 | 54.5 | 61.7 | 7.2 | 7.4 | 50.4 | 47.9 | 52.8 | 4.9 | 6.8 | 15.8 | 13.3 | 17.8 | 4.5 | 0.6 | 11.6 | 9.8 | 13 | 3.2 | 0.6 |\n| Eswatini | 57.7 | 53.4 | 63.2 | 9.8 | 10.7 | 50.1 | 47.1 | 53.8 | 6.7 | 8.8 | 15.1 | 12.4 | 17.7 | 5.3 | 1.5 | 11 | 9 | 12.9 | 3.9 | 1.1 |\n| Somalia | 56.5 | 54 | 59.2 | 5.2 | 6.6 | 49.7 | 48.3 | 51.3 | 3.0 | 5.7 | 14.5 | 13.2 | 16 | 2.8 | 1.4 | 11.2 | 10.3 | 12.2 | 1.9 | 1.1 |\n| Central African Republic | 53.1 | 50.2 | 56.3 | 6.1 | 8.8 | 46.4 | 44.5 | 48.4 | 3.9 | 7.7 | 13.2 | 11.3 | 14.9 | 3.6 | 1.4 | 10 | 8.6 | 11.1 | 2.5 | 1.1 |\n| Lesotho | 50.7 | 47.7 | 54.2 | 6.5 | 2.9 | 44.2 | 42.3 | 46.4 | 4.1 | 2.2 | 13.4 | 11.2 | 15.2 | 4.0 | β0.5 | 9.8 | 8.3 | 11 | 2.7 | β0.5 |", "structures": []}]} |