original_dataset_id stringlengths 32 32 | dataset_name stringclasses 1
value | table stringlengths 237 10.3k | table_title stringclasses 1
value | text stringclasses 1
value | question stringlengths 20 359 | answer stringlengths 5 215 |
|---|---|---|---|---|---|---|
502462f74e2b610c4df8e1cdbd7606b7 | hitab | {"table_id": "1293", "table": {"cells": [["type of formal employer support", "2013", "2010"], ["", "percentage", ""], ["any type of support", "55", "57"], ["use of facilities or equipment", "27", "30"], ["paid time off or time to spend volunteering", "20", "20"], ["approval to change work hours or reduce work activitie... | None | None | what is the prevalence of formal recognition or letter of thanks in 2010? | ["24.0"] |
5fc37195b7f2c1b143daa0e27399d0bb | hitab | {"table_id": "1293", "table": {"cells": [["type of formal employer support", "2013", "2010"], ["", "percentage", ""], ["any type of support", "55", "57"], ["use of facilities or equipment", "27", "30"], ["paid time off or time to spend volunteering", "20", "20"], ["approval to change work hours or reduce work activitie... | None | None | what is the prevalence of formal recognition or letter of thanks in 2013? | ["19.0"] |
b77473f060ec704ed3d59711b8eaa879 | hitab | {"table_id": "1294", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["dissatified with previous volunteer experience", "9", "7", "8", "6"], ["financial costs", "18", "17", "18", "15"], ["did not know how to become involved", "24", "22", "24", "22"], ["gave enough time already", "24", "17", "15", "15"], ["hea... | None | None | what is the percentage of non-volunteers citing a lack of interest in volunteering in 2004? | ["23.0"] |
469eb6f7e6e4001052fc7998908b0c1d | hitab | {"table_id": "1294", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["dissatified with previous volunteer experience", "9", "7", "8", "6"], ["financial costs", "18", "17", "18", "15"], ["did not know how to become involved", "24", "22", "24", "22"], ["gave enough time already", "24", "17", "15", "15"], ["hea... | None | None | what is the percentage of non-volunteers citing a lack of interest in volunteering in 2013? | ["29.0"] |
67e2a795b0837c1f72fd0daad317c2c8 | hitab | {"table_id": "1295", "table": {"cells": [["", "2013", "2010", "2007", "2004"], ["housework, home maintenance", "59", "61", "60", "60"], ["health-related or personal care", "49", "53", "53", "50"], ["shopping, driving to store or appointment", "45", "47", "47", "46"], ["paperwork", "27", "29", "29", "28"], ["teaching, c... | None | None | how many percentage points do health-related and personal care support drop since 2010 to 2013? | ["4"] |
2afe5d3955d5e1d13912e90d1de30af3 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | what is the entry rate of enterprises consisted of the group of short-lived firms? | ["2.9"] |
8e8487536896afec64d9650480e96bd0 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | what is the total number of entrants in 2011? | ["138506.0"] |
734a809ea2180e3e832586cb58b45b40 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how many alus do entrants in 2011 account for? | ["166580.0"] |
b7367446c25c48d812945cdda5b471a4 | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how many ilus do entrants in 2011 account for? | ["305671.0"] |
0dd16960c010011ed89561822cf12deb | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how much percentage of employment using full-time equivalents do entrants account for if the first-year size of entrants is used? | ["1.5"] |
25a0cf9511c1a0b98a5db6dc649ea97f | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how much percentage of employment using person-job counts do entrants account for if the first-year size of entrants is used? | ["2.3"] |
6c338421653d9acd1851f4ca7d64d13c | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how much percentage of employment using full-time equivalents do entrants account for if the second-year size of entrants is used? | ["1.3"] |
eb70f1a23b2fa325af5116baaf901e8e | hitab | {"table_id": "1297", "table": {"cells": [["entry type", "firms", "entries", "entry rate", "entry measured by employment", "", "", "", "", "", "", "", ""], ["", "", "", "", "alu employment creation rate", "ilu employment creation rate", "alu 2011", "ilu 2011", "alu 2012", "ilu 2012", "br employment", "monthly average pd... | None | None | how much percentage of employment using person-job counts do entrants account for if the second-year size of entrants is used? | ["1.9"] |
c6d2b74ca863557a9217e3741a685bd2 | hitab | {"table_id": "129_totto15717-3", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "europe", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["orebro", "2013", "superettan", "29", "0", "3", "0", "0", "0", "32", "0"], ["", "2014", "allsvenskan... | None | None | which club did ayanda nkili play for in 2013? | ["orebro"] |
be94d563493e06196b634ee9194af2dd | hitab | {"table_id": "129_totto15747-4", "table": {"cells": [["title", "album details", "peak chart positions", "", "", ""], ["", "", "uk", "ger", "nor", "us"], ["tons of sobs", "released: 14 march 1969 label: island format: lp", "-", "-", "-", "197"], ["free", "released: october 1969 label: island format: lp", "65", "86", "32... | None | None | what was the peak chart position on the us of tons of sobs? | ["197.0"] |
e809ae19ecffd62404bc5f916f5061d2 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer a... | None | None | how many million dollars of research and development performed by companies in the united states in 2013? | ["322528.0"] |
6da7cbf936aba7e003a6440c5c1a4243 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer a... | None | None | of the $323 billion of research and development performed by companies in the united states in 2013, how many percent did ict industries account for? | ["0.413418"] |
e6ea65b2cf26ff312854532eeb384890 | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer a... | None | None | of the $323 million of research and development performed by companies in the united states in 2013, how many million dollars did ict industries account for? | ["133339.0"] |
0e926d3ba6f493dda88efb973846005f | hitab | {"table_id": "12_114_tab1", "table": {"cells": [["industry and naics code", "all r&d", "paid for by the company", "paid for by others"], ["", "", "", ""], ["all industries, 21-33, 42-81", "322528", "264913", "57615"], ["ict industries, 334, 51 (part), 5415", "133339", "121169", "12170"], ["ict manufacturing (computer a... | None | None | how many times are r&d expenditures of ict industries larger than the pharmaceutical manufacturing industry, the single largest industry in terms of r&d expenditures in the united states? | ["2.418857"] |
ad68d927f4ebe66daf4133ac47c67f67 | hitab | {"table_id": "12_totto1364-0", "table": {"cells": [["club", "season", "league", "", "", "fa cup", "", "league cup", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["milton keynes dons", "2008-09", "league one", "7", "1", "0", "0"... | None | None | how many goals did powell made with 42 league appearances in 2014-2015, for the milton keynes dons club? | ["8.0"] |
4fb571b9a6ce9fff39473e66bff028ca | hitab | {"table_id": "12_totto1372-1", "table": {"cells": [["year", "single", "peak positions", "", "", "", "", "", "", "", "album"], ["", "", "us aaa", "us alt", "us rock", "bel", "bel", "can rock", "mex air", "ned", ""], ["2008", "taking the farm", "-", "-", "-", "-", "-", "-", "-", "-", "wagonwheel blues"], ["2011", "baby m... | None | None | in 2007, which album was relased by the war on drugs and had a song called "holding on"? | ["a deeper understanding"] |
61f90b8b041fd8a3ae23e53e304705cd | hitab | {"table_id": "12_totto1401-2", "table": {"cells": [["year", "host", "final", "", "", "third place match", "", ""], ["", "", "winner", "score", "runner-up", "3rd place", "score", "4th place"], ["2006 details", "occitania", "sapmi", "21-1", "monaco", "occitania", "w/o", "southern cameroons"], ["2008 details", "sapmi", "p... | None | None | what is the final result for the first viva world cup? | ["21-1"] |
91f06c00d632b2e70ef5a54ed4d0f524 | hitab | {"table_id": "12_totto1410-3", "table": {"cells": [["year", "team", "games", "", "receiving", "", "", "", "", "rushing", "", "", "", "", "fumbles", ""], ["", "", "g", "gs", "rec", "yds", "avg", "lng", "td", "att", "yds", "avg", "lng", "td", "fmb", "lst"], ["1990", "pittsburgh steelers", "16", "2", "10", "124", "12.4", ... | None | None | which year did chris calloway perform the best? | ["1997.0"] |
85b1cad37cc32edcf4317e6cfe61be1e | hitab | {"table_id": "12_totto1420-4", "table": {"cells": [["nhl season", "canadiens season", "conference", "division", "regular season", "", "", "", "", "", "", "", "", "postseason", "", "", "", "", ""], ["", "", "", "", "gp", "w", "l", "t", "ot", "gf", "ga", "pts", "finish", "gp", "w", "l", "gf", "ga", "result"], ["1967-68",... | None | None | during the 1972-73 montreal canadiens season, what is the final result for canadiens? | ["1st"] |
7e34d7cab8d8dcffb1dc9866cf3b8548 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], [... | None | None | which year has a higher number of under-reporters regardless of age or sex? | ["2015.0"] |
f857c924f3f3086c975d60edff301f54 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], [... | None | None | how many times has the percentage of under-reporters increased in the youngest age group? | ["2.104478"] |
d404577798c80e4ce775932c21fba950 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], [... | None | None | which group of people has been dereased from 2004 to 2015 significantly mostly? | ["over-reporters"] |
8c8bdb6e9f29537e77c6552de940f993 | hitab | {"table_id": "13", "table": {"cells": [["", "all", "under-reporters", "", "", "plausible reporters", "", "", "over-reporters", "", ""], ["", "", "%", "95% confidence interval", "", "%", "95% confidence interval", "", "%", "95% confidence interval", ""], ["", "n", "", "from", "to", "", "from", "to", "", "from", "to"], [... | None | None | what is the most prevalent misreporting status? | ["plausible reporters"] |
2da2d6ac5ea1d45d10462dd720f9ecf9 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | what is the likelihood of being employed among off-reserve first nations mothers without a high school diploma who become mothers in their teens? | ["0.4"] |
607deb5bb0a513c4236daffa85ef1b6f | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | what is the likelihood of being employed among off-reserve first nations mothers without a high school diploma who become mothers later in life? | ["0.41"] |
fe6f23e21ab61c1b77124b7dd8e58b45 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | what is the likelihood of being employed among off-reserve first nations early mothers with a diploma? | ["0.59"] |
0a7283a7703ab15e752b9a6a4caef850 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | what is the likelihood of being employed among inuit women, those who have at least a high school diploma and who become mothers in their teenage years? | ["0.67"] |
cffbc73601dc949be8e9e5236bcb47a9 | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | which kind of inuit women have higher probability to be employed, women who had at least a high school diploma and who became mothers in their teenage years or early mothers who did not complete high school? | ["early mothers, with diploma"] |
7bd78aa1c36ef8c768939db9776c920b | hitab | {"table_id": "1300", "table": {"cells": [["", "aboriginal identity", "", ""], ["", "off-reserve first nations", "metis", "inuit"], ["", "predicted probability", "", ""], ["motherhood status and high school completion", "", "", ""], ["early mothers, no diploma", "0.40", "0.46", "0.38"], ["other mothers, no diploma", "0.... | None | None | which kind of inuit women are less likely to be employed, women without a diploma and without children or women who completed high school and were early mothers? | ["childless women, no diploma"] |
43f70713aab49d3bc57391bc4b9e620b | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", ... | None | None | which characteristics of men cohort were slightly underrepresented among all the characteristics? | ["not married or common-law", "urban", "moved"] |
d3e55115aebf02529badddd44907ac51 | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", ... | None | None | which characteristics of women cohort were slightly underrepresented among all the characteristics? | ["not married or common-law", "unemployed"] |
f4b0186383b2f367a2197eb044e7e63e | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", ... | None | None | which characteristics of men cohort were slightly overrepresented among all the characteristics? | ["married or common-law", "rural"] |
ee2edabe566a1f6c6e78638b34f61eba | hitab | {"table_id": "1301", "table": {"cells": [["", "men", "", "", "", "ratio", "women", "", "", "", "ratio"], ["", "cohort", "", "in-scope", "", "", "cohort", "", "in-scope", "", ""], ["", "number", "percent", "number", "percent", "ratio", "number", "percent", "number", "percent", "ratio"], ["total", "10,206,510", "100.0", ... | None | None | which characteristics of women cohort were slightly overrepresented among all the characteristics? | ["married or common-law", "moved", "rural"] |
ceafd1b878c8e8e5cb79881226a885f3 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families with a debt-to-asset ratio above 0.5 miss a non-mortagage payment? | ["0.128"] |
5cfab93ed5e0ad81fee54fd3255d625e | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families with a debt-to-asset ratio above 0.25 and up to 0.50 miss a non-mortagage payment? | ["0.122"] |
f8a5f17bed0e3e9ec32cd2fd8b931c8a | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families with a debt-to-asset ratio equal to or below 0.25 miss a non-mortagage payment? | ["0.08"] |
a7f818bc888dc2caa6a9757f959565aa | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families owned their principal residence without mortgage miss a non-mortgage payment? | ["0.078"] |
3adab9b1b8efd91844a87ab4648cc295 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families who did not own their principal residence miss a non-mortgage payment? | ["0.14"] |
da1a3c9971346006772a5b2706eb07ad | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families in the lowest income quintile skip or delay a non-mortgage payment? | ["0.128"] |
6792a3fc2b73ef66ec9e5134403aa866 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families in the fourth income quintile skip or delay a non-mortgage payment? | ["0.095"] |
498f490424592bf55fa26ba918e0aae7 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families in the fifth income quintile skip or delay a non-mortgage payment? | ["0.051"] |
0409176014c277bfa86649563e6f8e8f | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families where the major income earner was aged 65 or over miss non-mortgage payment? | ["0.062"] |
44db9910b144605fd6c736f38b063a68 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families where the major income earner was aged 45 to 54 miss non-mortgage payment? | ["0.125"] |
b9c504dbd9190ade37be4c0367bccae0 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | which kind of income earner were less likely to miss non-mortgage payments, university degree holders or high school diploma holders? | ["university diploma or degree"] |
c9c8f5ccb782fbd3fa2fe5d1ab937f01 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families in quebec skip or delay non-mortgage payment? | ["0.136"] |
50aa6767effa34ec9271a03215c2c589 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would families in ontario skip or delay non-mortgage payment? | ["0.096"] |
4356602ba4a48bf2ab9d3198540e3423 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would those in the lowest debt-to-asset ratio skip or delay a mortgage payment? | ["0.016"] |
6a33219953b114d1e9e0e5e15ce8eb2f | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | by what percentage would those with debt-to-asset ratios above 0.50 skip or delay a mortgage payment? | ["0.073"] |
885827c3bd29a665ad9a6421101ff557 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | which family type had a higher probability of missing a mortgage payment, lone-parent families or couples without children? | ["lone parent"] |
007dcbff4cf29beb89093114c03cb532 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | among all age groups of main income earner, which group was most likely to miss a mortgage payment? | ["55 to 64 years"] |
c30933389e49319ef8bd722f1fa21c59 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | which age group of main income earner was less likely to miss a mortgage payment, families where the major income earner was 15 to 34 years old or families where the major income earner was 45 to 54 years old? | ["15 to 34 years"] |
2f560c125bec5da6d7d4c1855ae0e1d9 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | which income group had a lower probability of missing a mortgage payment, families in the top income quintile (the fifth) or families in the bottom income quintile(the first)? | ["fifth quintile"] |
237a2c42f23af7ca2238a436286146e4 | hitab | {"table_id": "1305", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year", "payday loan used in past three years"], ["", "predicted probability", "", ""], ["debt-to-asset ratio category", "", "", ""], ["up to 0.25", "0.080", "0.016",... | None | None | regionally, which group of families were more likely to miss mortgage payment, families in the prairies or families in ontario? | ["prairies"] |
4b5eefad1e2962babfee43ea088d5098 | hitab | {"table_id": "1307", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year"], ["", "predicted probability", ""], ["debt-to-asset ratio category", "", ""], ["up to 0.25", "0.048", "0.013"], ["above 0.25 and up to 0.50", "0.068", "0.027"... | None | None | by what percentage would families with a debt-to-asset ratio up to 0.25 skip or delay a non-mortgage payment? | ["0.048"] |
4898b9ff874b24f80d12d4024c7707fa | hitab | {"table_id": "1307", "table": {"cells": [["", "non-mortgage payment skipped or delayed in the past year", "mortgage payment skipped or delayed in the past year"], ["", "predicted probability", ""], ["debt-to-asset ratio category", "", ""], ["up to 0.25", "0.048", "0.013"], ["above 0.25 and up to 0.50", "0.068", "0.027"... | None | None | by what percentage would families with a debt-to-asset ratio above o.5 skip or delay a non-mortgage payment? | ["0.098"] |
a9dfe651e3c3df6c267d7d1ada589316 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15",... | None | None | which group of decendents were most among all the decedents who did not contact with police and had at least one contact with police in 24 monts prior to death, those who were not hospitalized, or those who had one or two more hospital visits in year prior to death? | ["none"] |
50c44a9aab95a86c4e393061eafbfefa | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15",... | None | None | among all the decedents who did not have contact with police in 24 months prior to deaths, what is the percentage of those who were not hospitalized in year prior to death? | ["75.0"] |
a540fbc4e7e386bf2d8597389fbe2b78 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15",... | None | None | which group of decedents were more likely to have been hospitalized two or more times in the year before their death, those who had come into contact with police or those who hadn't come into contact with police? | ["at least one contact with police in 24 months prior to death"] |
a62805fe9f4222b56f6c8460255161b3 | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15",... | None | None | among decedents who had contact with police in 24 months prior to death, what is the percentage of those who were hospitalized at least once in the year before their death as a result of opioid poisoning? | ["5.0"] |
7821d1fc7119f38ee53e23a9c30b06ef | hitab | {"table_id": "1309", "table": {"cells": [["type of health care involvement", "no police contact in 24 months prior to death", "at least one contact with police in 24 months prior to death"], ["", "percent", ""], ["number of acute care hospital visits in year prior to death", "", ""], ["none", "75", "72"], ["one", "15",... | None | None | among decedents who hadn't contact with police in 24 months prior to death, what is the percentage of those who were hospitalized at least once in the year before their death as a result of opioid poisoning? | ["4.0"] |
a53c31d208960de5d96a01fb3a3a1a4f | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many billion dollars did basic research activities account for in 2016? | ["88.6"] |
c087257fd93d3ee12d64339a5eb4c348 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many percentage points of total u.s. r&d expenditures did basic research activities account for? | ["0.171939"] |
355c456bbb78272db97de71f4ea7ac82 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many billion dollars did applied research activities account for in 2016? | ["104.6"] |
e1b9017e08d6a4d7d561fa2df983ac50 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many percentage points of total u.s. r&d expenditures did applied research activities account for? | ["0.202989"] |
7579cee13b6c92c4fbd44e3d906302b8 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many billion dollars did experimental development activities account for in 2016? | ["322.1"] |
84cace18a468bc7e5b9f678448905f52 | hitab | {"table_id": "130_62_np16-ib-19308-tab004", "table": {"cells": [["type of work", "2000", "2010", "2012", "2013", "2014", "2015", "2016a", "2017b"], ["current $billions", "", "", "", "", "", "", "", ""], ["all r&d", "267.9", "406.6", "433.6", "454", "475.4", "493.7", "515.3", "542.2"], ["basic research", "42", "75.9", "... | None | None | how many percentage points of total u.s. r&d expenditures did experimental development activities account for? | ["0.625073"] |
d9fd73424337e4033cee443451e2034e | hitab | {"table_id": "130_totto15758-0", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "europe", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["odd", "2011", "tippeligaen", "4", "0", "0", "0", "-", "", "", "", "4"... | None | None | which club did shala play for in 2018? | ["start"] |
250e172543a7f8dbcdbc716293c3549a | hitab | {"table_id": "130_totto15809-1", "table": {"cells": [["season", "team", "games", "overall fgs", "", "", "", "", "pats", "", "", "", "kickoffs", "", "", "", "", "points"], ["", "", "gp", "blk", "lng", "fg att", "fgm", "pct", "xp att", "xpm", "pct", "blk", "ko", "avg", "tb", "ret", "avg", ""], ["1996", "ne", "3", "0", "2... | None | None | how many points did adam vinatieri score in the postseason? | ["238.0"] |
eccfd08712bd3f1b5af941846dbf3ee2 | hitab | {"table_id": "130_totto15937-3", "table": {"cells": [["club", "season", "league", "", "", "national cup", "", "league cup", "", "continental", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["vejle boldklub", "2016-17", "danish 1st division",... | None | None | which club did wang xin play for in 2018? | ["guangzhou r&f"] |
cc2e0a2bc7a0821cf4354f99df4be0ad | hitab | {"table_id": "130_totto15956-4", "table": {"cells": [["year", "team", "games", "", "rushing", "", "", "", "", "receiving", "", "", "", "", "kick return", "", "", ""], ["", "", "gp", "gs", "att", "yds", "avg", "lng", "td", "rec", "yds", "avg", "lng", "td", "att", "yds", "lng", "td"], ["2016", "phi", "13", "1", "77", "31... | None | None | how many rushing yards did wendell smallwood get in 2016? | ["312.0"] |
faf496ced3d977d4e8bc8ec16353ec84 | hitab | {"table_id": "1310", "table": {"cells": [["time period prior to fatal overdose", "decedents in british columbia", "decedents in surrey"], ["", "cumulative percent", ""], ["1 month prior to fatal overdose", "16", "10"], ["3 months prior to fatal overdose", "33", "24"], ["6 months prior to fatal overdose", "52", "47"], [... | None | None | among all decedents in british columbia and surrey, what is the percentage of those who experienced their fatal overdose within one year after their contact with police? | ["75.0"] |
7b67a0c7858b7ee4f607885faa06ec21 | hitab | {"table_id": "1311", "table": {"cells": [["type of offence", "police contacts for decedents in british columbia", "police contacts for decedents in surrey", "all criminal offences in british columbia, 2009 to 2016"], ["", "percent", "", ""], ["violent offences", "17", "17", "15"], ["property offences", "31", "35", "54"... | None | None | among all decedents in british coulumbia who came into contact with police prior to their fatal overdose, what is the percentage of those who did so for a non-violent crime? | ["83"] |
1626cbe0177ea4b8d49d0469882c6327 | hitab | {"table_id": "1311", "table": {"cells": [["type of offence", "police contacts for decedents in british columbia", "police contacts for decedents in surrey", "all criminal offences in british columbia, 2009 to 2016"], ["", "percent", "", ""], ["violent offences", "17", "17", "15"], ["property offences", "31", "35", "54"... | None | None | among all the types of offence, which type was the most common category of offence for which decedents had contact with police in the 24 months prior to their overdose both in british columbia and surrey? | ["property offences"] |
dea4fbb10740f60ead170a4f536d7160 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | in 2017, how many individuals worldwide held a research doctoral degree in a science, engineering, or health (seh) field? | ["1103200.0"] |
6f325ee51e418208f9c677d04f8d2795 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | how many individuals were residing in the united states? | ["967500.0"] |
bbec70ee31aaa709f1df7299dc1a49d3 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | how many percent of individuals residing in the united states were women? | ["0.349767"] |
2fc43fc928165cc11b712f393ada3a9b | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | how many individuals residing in the united states were women? | ["338400.0"] |
71d9003c46144cece3d76403354c0f04 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | how many individuals were living abroad? | ["135700.0"] |
df0890dd51311e9ef14d2951b7361889 | hitab | {"table_id": "131_64_sdr17-ib-19307-tab001", "table": {"cells": [["residence location", "total", "men", "women", "employment status", "", "", "employment sector", "", ""], ["", "", "", "", "employed", "unemployeda", "not in the labor forceb", "educational institution", "business or industry", "government"], ["worldwide... | None | None | an additional 135,700 were living abroad, how many percent of whom were women? | ["0.248342"] |
d33db682d17e8fc1f79516ff9e011e88 | hitab | {"table_id": "131_totto15986-0", "table": {"cells": [["year", "team", "games", "", "rushing", "", "", "", "", "", "", "receiving", "", "", "", "", "", ""], ["", "", "gp", "gs", "att", "yards", "td", "lng", "y/a", "y/g", "a/g", "rec", "yards", "td", "lng", "y/r", "r/g", "y/g"], ["1990", "dal", "16", "15", "241", "937", ... | None | None | how many rushing yards did emmitt smith get in 1992? | ["1713.0"] |
ae4948aa9f19232b537448dd1cf47d87 | hitab | {"table_id": "131_totto16008-1", "table": {"cells": [["no", "pos", "nat", "player", "total", "", "primeira liga", "", "taca de portugal", "", "champions league", "", "supertaca", ""], ["", "", "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["1", "gk", "portugal", "jose mor... | None | None | what the matches did benfica compete in the 2005-06 season? | ["primeira liga", "taca de portugal", "champions league"] |
02f3716f1f5a436bdadb92dbb20189d1 | hitab | {"table_id": "131_totto16021-2", "table": {"cells": [["club", "season", "league", "", "", "national cup", "", "league cup", "", "continental", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["dustlik", "2001", "u... | None | None | which club did geynrikh play for in 2015? | ["ordabasy"] |
883a3552dba4f9de7b864f99321bf6d1 | hitab | {"table_id": "131_totto16059-4", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "continental", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["pomorac kostrena", "2009-10", "2. hnl", "24", "0", "4", "0", "-", "-", "28", "0"], ["", "2010-... | None | None | which club did maric play for in 2015-16? | ["persepolis"] |
87b31a4cb71dd88bef8d73121057f5b3 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | the most important contributor to total variance was person effects, what was the percentage of the variance of earnings for male workers? | ["58.1"] |
395e1775e0baa1d69a9b65435efa0302 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | the most important contributor to total variance was person effects, what was the percentage of the variance of earnings for female workers? | ["68.5"] |
9c2a06819aba37a8eb34e98498608ab0 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | the lower contribution of person effects for male workers was compensated by a higher contribution of the variance of predicted earnings based on observable characteristics and associated covariances, what was the percentage of the variance for male workers? | ["11.2"] |
c454e5be0c141d6556300ebb61f0e9fe | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | the lower contribution of person effects for male workers was compensated by a higher contribution of the variance of predicted earnings based on observable characteristics and associated covariances, what was the percentage of the variance for female workers? | ["3.9"] |
b13838157a31b9e8609e4a4b9fc9851f | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | what was the percentage of firm fixed effects for male workers? | ["11.1"] |
0dd8be8b6648f2b558a70739bd0d1ff0 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | what was the percentage of firm fixed effects for female workers? | ["11.3"] |
ef09161468310693e3306eb00b7aa131 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | what was the covariance between person and firm effect for male workers? | ["3.5"] |
ffb366016c74287edfd351d48b2d2085 | hitab | {"table_id": "132", "table": {"cells": [["", "male workers", "female workers"], ["", "column 1", "column 2"], ["standard deviation of log earnings", "0.575", "0.499"], ["number of person-year observations", "39,572,671", "20,738,690"], ["summary of parameter estimates", "", ""], ["number of person effects", "5,558,251"... | None | None | what was the covariance between person and firm effect for female workers? | ["0.0"] |
2e54ba30e524b53f6ec1bab43b5c68ea | hitab | {"table_id": "1324", "table": {"cells": [["", "very likely", "somewhat likely", "somewhat unlikely", "very unlikely", "total"], ["", "percent", "", "", "", ""], ["canadian private venture capital", "26", "13", "29", "32", "100"], ["american private venture capital", "63", "14", "17", "6", "100"], ["other private ventur... | None | None | which were the top three most frequently-mentioned sources of potential new capital among all the capital sources? | ["personal finance", "american private venture capital", "angel investors"] |
f99da192024a1c4e8597fd37378a9416 | hitab | {"table_id": "1325", "table": {"cells": [["", "women", "men", "difference"], ["", "percent", "", ""], ["under $5,000", "8.1", "6.4", "1.7"], ["$5,000 to $9,999", "8.4", "5.8", "2.6"], ["$10,000 to $19,999", "15.6", "10.4", "5.2"], ["$20,000 to $29,999", "13.6", "9.3", "4.3"], ["$30,000 to $39,999", "12.7", "10.2", "2.5... | None | None | which gender had a lower average annual earnings from wages, salaries and commissions in 2017, women or men? | ["women"] |
e6fb7bede1e8c774989d8ad405d52dc9 | hitab | {"table_id": "1327", "table": {"cells": [["occupations", "women", "men", "difference"], ["", "percent", "", ""], ["mine service workers and operators in oil and gas drilling", "0.01", "0.08", "0.08"], ["central control and process operators in processing and manufacturing", "0.01", "0.14", "0.13"], ["train crew operati... | None | None | what is the percentage of men who were in the total 20 occupations men in 2017? | ["11.52"] |
4f04030fb1433edd5fa2e805c7841bfd | hitab | {"table_id": "1328", "table": {"cells": [["change in real log gender wage ratio", "-0.062"], ["gender gap in log wages in 2017", "0.134"], ["gender gap in log wages in 1997", "0.196"], ["percent due to change in gender differences in characteristics", "46.8"], ["province", "-3.3"], ["education", "13.1"], ["age", "-5.3"... | None | None | what is the percentage of decrease in the gender wage gap that occurred between 1997 and 2017 which was explained by changes in the relative characteristics of women and men? | ["46.8"] |
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