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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
refugee_pads:000030 | 30 | 0 | externally-administered surveys | 826 | 857 | descriptive | descriptive | survey | will be complemented by ⟦externally-administered surveys⟧ to measure progress and effectiveness of activities | true | null | |
refugee_pads:000030 | 31 | 0 | World Bank data | 1,019 | 1,034 | named | vague | other | The cost of capital in Rwanda is estimated at 17 percent as per ⟦World Bank data⟧ | true | null | |
refugee_pads:000030 | 32 | 1 | empirical data_ | 211 | 226 | vague | vague | other | Source: Team calculations based on ⟦empirical data_⟧ | true | null | |
refugee_pads:000030 | 37 | 1 | integrated P-MIS | 1,198 | 1,214 | named | named | system | The ⟦integrated P-MIS⟧ is also intended to facilitate effective and consolidated monitoring | true | null | |
refugee_pads:000030 | 45 | 0 | P-MIS | 1,130 | 1,135 | named | named | system | **Datasource**<br>⟦P-MIS⟧ | true | null | |
refugee_pads:000030 | 45 | 1 | attendance sheets | 469 | 486 | descriptive | descriptive | other | Data on indicator will<br>be collected from<br>⟦attendance sheets⟧ | true | null | |
refugee_pads:000030 | 45 | 1 | consultation reports | 494 | 514 | descriptive | descriptive | report | and<br>⟦consultation reports⟧. | true | null | |
refugee_pads:000030 | 46 | 1 | Data on indicator | 2 | 19 | descriptive | vague | other | ⟦Data on indicator⟧ will<br>the individual beneficiaries | false | null | |
refugee_pads:000030 | 48 | 0 | Beneficiary survey | 484 | 502 | descriptive | descriptive | survey | ⟦Beneficiary survey⟧ | true | null | |
refugee_pads:000030 | 48 | 0 | MINEMA SPIU | 503 | 514 | named | named | other | ⟦MINEMA SPIU⟧ | false | null | |
refugee_pads:000030 | 48 | 0 | MINEMA SPIU | 955 | 966 | named | named | other | ⟦MINEMA SPIU⟧ | false | null | |
refugee_pads:000030 | 48 | 0 | beneficiary surveys | 1,237 | 1,256 | descriptive | descriptive | survey | collected by ⟦beneficiary surveys⟧ | true | null | |
refugee_pads:000030 | 48 | 1 | beneficiary surveys | 142 | 161 | descriptive | descriptive | survey | collected by ⟦beneficiary surveys⟧ | true | null | |
refugee_pads:000030 | 57 | 3 | empirical data_ | 355 | 370 | vague | vague | other | Source: Team calculations based on ⟦empirical data_⟧ | true | null | |
refugee_pads:000030 | 61 | 1 | World Bank data on infrastructure costs | 376 | 415 | named | descriptive | other | as per ⟦World Bank data on infrastructure costs⟧ in Sub-Saharan Africa | true | null | |
refugee_pads:000030 | 64 | 3 | empirical data_ | 287 | 302 | vague | vague | other | Source: Team calculations based on ⟦empirical data_⟧ | true | null | |
refugee_pads:000030 | 66 | 0 | UNHCR data | 786 | 796 | named | named | database | ⟦UNHCR data⟧ suggests that about 90 percent of refugees in the camps rely on humanitarian cash/food assistance | true | null | |
refugee_pads:000030 | 77 | 0 | PEFA 2016 | 1,447 | 1,456 | named | named | report | The ⟦PEFA 2016⟧[1] confirmed these strengths. | true | null | |
refugee_pads:000030 | 81 | 0 | IFMIS | 492 | 497 | named | named | system | Upgrading of the ⟦IFMIS⟧[2] to cater to the latter features is recommended. | true | null | |
refugee_pads:000031 | 101 | 0 | Joint Debt Sustainability Analysis | 1,181 | 1,215 | named | named | report | Based on the International Monetary Fund/World Bank ⟦Joint Debt Sustainability Analysis⟧[3] for 2016 | true | null | |
refugee_pads:000031 | 101 | 1 | general Federal Government BIs | 1,395 | 1,425 | descriptive | descriptive | other | Based on the PEFA assessment of ⟦general Federal Government BIs⟧[4], the overall credibility of the budget is adequate. | false | null | |
refugee_pads:000031 | 102 | 1 | actual economic data | 1,134 | 1,154 | vague | vague | other | CGEs are a class of economic models that use ⟦actual economic data⟧[5] to estimate policy interventions’ impact | true | null | |
refugee_pads:000031 | 102 | 1 | GTAP modelling framework and database | 1,329 | 1,366 | named | named | database | The CGE model that is based on the ⟦GTAP modelling framework and database⟧[6] was adapted/updated for Ethiopia | true | null | |
refugee_pads:000031 | 103 | 0 | GTAP dataset | 1,413 | 1,425 | named | named | database | The economywide analysis is based on the standard ⟦GTAP dataset⟧[7] | true | null | |
refugee_pads:000031 | 105 | 0 | PEFA assessment 2014/15 reports | 562 | 593 | named | named | report | the ⟦PEFA assessment 2014/15 reports⟧[8] that covered the Federal Government and six regions | true | null | |
refugee_pads:000031 | 108 | 2 | staff data | 1,477 | 1,487 | descriptive | vague | other | The ⟦staff data⟧[9] for both entities is attached in the annex. | true | null | |
refugee_pads:000031 | 109 | 1 | staff data | 920 | 930 | descriptive | vague | other | The ⟦staff data⟧[10] is attached in the annex. | true | null | |
refugee_pads:000031 | 110 | 2 | fixed asset register | 511 | 531 | descriptive | descriptive | administrative | Except at IPDC, Proper ⟦fixed asset register⟧[11] is maintained | true | null | |
refugee_pads:000031 | 110 | 2 | fixed asset register | 680 | 700 | descriptive | descriptive | administrative | IPDC has not yet finalized maintaining a comprehensive ⟦fixed asset register⟧[12] | true | null | |
refugee_pads:000031 | 111 | 0 | staff data | 925 | 935 | descriptive | vague | other | as shown in ⟦staff data⟧[13], in the annex | true | null | |
refugee_pads:000031 | 111 | 1 | staff data | 24 | 34 | descriptive | vague | other | As shown in the ⟦staff data⟧[14] in the annex | true | null | |
refugee_pads:000031 | 120 | 1 | court preoccupation reports | 1,601 | 1,628 | descriptive | descriptive | report | the various preventive and curative activities undertaken including the findings of FEACC and EACs, ⟦court preoccupation reports⟧[15] | true | null | |
refugee_pads:000031 | 120 | 1 | complaint review board results | 1,634 | 1,664 | descriptive | descriptive | report | ⟦complaint review board results⟧[16] signify the need to strengthen fraud and corruption prevention and control further | true | null | |
refugee_pads:000031 | 123 | 2 | procurement records | 67 | 86 | descriptive | descriptive | administrative | Provide the required space and recordkeeping facilities for ⟦procurement records⟧[17] filing | true | null | |
refugee_pads:000031 | 12 | 1 | map of the locations of the industrial parks | 747 | 791 | descriptive | descriptive | geospatial | a ⟦map of the locations of the industrial parks⟧[18] is shown in annex 12 | true | null | |
refugee_pads:000031 | 13 | 1 | 2013 National Labour Force Survey | 1,779 | 1,812 | named | named | survey | For exact definition, see CSA (2014) Analytical Report on the ⟦2013 National Labour Force Survey⟧[19]. | true | null | |
refugee_pads:000031 | 13 | 2 | 2013 National Labour Force Survey | 124 | 157 | named | named | survey | For exact definition, see CSA (2014) Analytical Report on the ⟦2013 National Labour Force Survey⟧[20]. | true | null | |
refugee_pads:000031 | 14 | 0 | Global Competitiveness Index | 0 | 28 | named | named | indicator | ⟦Global Competitiveness Index⟧[21] 2017/18 | true | null | |
refugee_pads:000031 | 14 | 0 | 2018 Doing Business rankings | 73 | 101 | named | named | indicator | the ⟦2018 Doing Business rankings⟧[22] | true | null | |
refugee_pads:000031 | 22 | 2 | Hawassa Industrial Park Community Impact Evaluation | 1,407 | 1,458 | named | named | other | the results of the upcoming ⟦Hawassa Industrial Park Community Impact Evaluation⟧[23] measuring welfare impacts | false | null | |
refugee_pads:000031 | 23 | 0 | data capturing systems | 1,796 | 1,818 | descriptive | descriptive | system | the verification process for the achievement of this DLI will rely on ⟦data capturing systems⟧[24] currently being set up in the EIC | true | null | |
refugee_pads:000031 | 31 | 0 | refugee survey | 982 | 996 | descriptive | descriptive | survey | The ongoing ⟦refugee survey⟧[25] reconfirmed inaccuracy and multiple issues associated with ARRA’s refugee database. | true | null | |
refugee_pads:000031 | 31 | 0 | high frequency data | 1,456 | 1,475 | vague | vague | other | The establishment of a feedback loop by collecting ⟦high frequency data⟧[26] will help the implementation of the Economic Opportunities Program. | true | null | |
refugee_pads:000031 | 47 | 1 | employment statistics | 1,296 | 1,317 | descriptive | vague | other | Under Employment Service Promotion, MoLSA is responsible for monitoring the labor market (preparing ⟦employment statistics⟧[27]) | true | null | |
refugee_pads:000031 | 56 | 1 | fixed asset register | 1,140 | 1,160 | descriptive | descriptive | administrative | Proper ⟦fixed asset register⟧ is maintained | true | null | |
refugee_pads:000031 | 61 | 1 | project’s database | 1,376 | 1,394 | descriptive | descriptive | database | It will also be available in the ⟦project’s database⟧ | true | null | |
refugee_pads:000031 | 67 | 1 | EIC database | 710 | 722 | named | named | database | ⟦EIC database⟧ BoLSA/MoLSA records | true | null | |
refugee_pads:000031 | 67 | 1 | EIC database | 1,082 | 1,094 | named | named | database | Biannually|⟦EIC database⟧[4]|Reporting template | true | null | |
refugee_pads:000031 | 67 | 2 | EIC database | 33 | 45 | named | named | database | Biannually|⟦EIC database⟧[5]|Reporting template | true | null | |
refugee_pads:000031 | 75 | 1 | databases/registries | 1,221 | 1,241 | descriptive | descriptive | database | information from their ⟦databases/registries⟧ | true | null | |
refugee_pads:000031 | 75 | 2 | databases/registries | 43 | 63 | descriptive | descriptive | database | the following information from their ⟦databases/registries⟧ | true | null | |
refugee_pads:000031 | 80 | 2 | procurement documents | 343 | 364 | descriptive | descriptive | administrative | random sample check of ⟦procurement documents⟧ | true | null | |
refugee_pads:000031 | 92 | 1 | data on refugees | 1,199 | 1,215 | vague | vague | other | presents some ⟦data on refugees⟧, from the World Bank’s recently completed skills profiling/survey | true | null | |
refugee_pads:000031 | 92 | 1 | skills profiling/survey | 1,258 | 1,281 | descriptive | descriptive | survey | from the World Bank’s recently completed ⟦skills profiling/survey⟧ | true | null | |
refugee_pads:000031 | 92 | 1 | refugee skills survey | 1,382 | 1,403 | descriptive | descriptive | survey | Based on data completed from the World Bank’s ⟦refugee skills survey⟧ | true | null | |
refugee_pads:000031 | 92 | 2 | refugee skills profile | 663 | 685 | named | descriptive | survey | according to the ⟦refugee skills profile⟧ | true | null | |
refugee_pads:000031 | 93 | 2 | Ethiopia Survey | 1,422 | 1,437 | named | named | survey | _Source_ : ⟦Ethiopia Survey⟧ on Skills Profile of Refugees and Host Communities. | true | null | |
refugee_pads:000031 | 97 | 0 | site survey for Hawassa | 469 | 492 | descriptive | descriptive | survey | The ⟦site survey for Hawassa⟧ shows that production processes are generating waste | true | null | |
refugee_pads:000031 | 9 | 1 | UNHCR estimates | 1,342 | 1,357 | descriptive | named | estimates | Based on the latest ⟦UNHCR estimates⟧ (as of January 31, 2018) | true | null | |
refugee_pads:000032 | 121 | 0 | gender-disaggregated data | 1,801 | 1,826 | descriptive | vague | other | Performance indicators for gender, including ⟦gender-disaggregated data⟧ and citizen engagement | true | null | |
refugee_pads:000032 | 121 | 1 | disaggregated data | 1 | 19 | vague | vague | other | ⟦disaggregated data⟧ and citizen engagement, have been incorporated into the project’s Results Framework | true | null | |
refugee_pads:000032 | 121 | 1 | satellite imagery data | 471 | 493 | descriptive | descriptive | geospatial | their ⟦satellite imagery data⟧ in order to verify infrastructure assets and gaps | true | null | |
refugee_pads:000032 | 128 | 2 | Rocks Database | 428 | 442 | named | named | database | the World Bank’s ⟦Rocks Database⟧ | true | null | |
refugee_pads:000032 | 131 | 0 | NSP MIS System | 1,402 | 1,416 | named | named | system | Data taken from 3 sources: (i) ⟦NSP MIS System⟧ (May 2016) | true | null | |
refugee_pads:000032 | 132 | 0 | NSP MIS System | 692 | 706 | named | named | system | _Source:_ ⟦NSP MIS System⟧[21] (May-June 2016) | true | null | |
refugee_pads:000032 | 133 | 0 | NSP MIS System | 594 | 608 | named | named | system | _Source:_ ⟦NSP MIS System⟧[22], June 2016. | true | null | |
refugee_pads:000032 | 133 | 0 | 2013 IE | 746 | 753 | named | named | other | The ⟦2013 IE⟧ found that NSP strongly increased villagers’ favorable view of government agencies | false | null | |
refugee_pads:000032 | 133 | 1 | midline survey | 5 | 19 | descriptive | descriptive | other | at the ⟦midline survey⟧ (in May-October 2009) | false | null | |
refugee_pads:000032 | 133 | 1 | endline survey | 84 | 98 | descriptive | descriptive | other | at the time of the ⟦endline survey⟧ (in 2011) | false | null | |
refugee_pads:000032 | 135 | 0 | NSP monitoring data | 1,101 | 1,120 | descriptive | descriptive | other | the ⟦NSP monitoring data⟧ indicate that 85 percent of subprojects are functional | true | null | |
refugee_pads:000032 | 140 | 0 | Afghanistan Living Conditions Survey | 1,648 | 1,684 | named | named | survey | The 2013/2014 ⟦Afghanistan Living Conditions Survey⟧ found that three-quarters of women do not leave the dwelling | true | null | |
refugee_pads:000032 | 140 | 1 | Afghanistan Living Conditions Survey | 23 | 59 | named | named | survey | The 2013/2014 ⟦Afghanistan Living Conditions Survey⟧ found that three-quarters of women do not leave the dwelling | true | null | |
refugee_pads:000032 | 141 | 0 | monitoring reports | 682 | 700 | descriptive | descriptive | report | NSP’s ⟦monitoring reports⟧ and impact evaluation show impressive results | true | null | |
refugee_pads:000032 | 141 | 0 | monitoring reports | 1,057 | 1,075 | descriptive | descriptive | report | According to ⟦monitoring reports⟧, CDCs provide a space for women to gather together | true | null | |
refugee_pads:000032 | 19 | 0 | Afghanistan Living Conditions Survey | 882 | 918 | named | named | survey | The 2013-2014 ⟦Afghanistan Living Conditions Survey⟧ estimates that 74 percent of the urban population lives in slums. | true | null | |
refugee_pads:000032 | 22 | 0 | NSP management information system | 628 | 661 | named | named | system | building upon the existing ⟦NSP management information system⟧ to track whether women, the poor and vulnerable groups such as returnees/IDPs are participating | true | null | |
refugee_pads:000032 | 28 | 1 | community monitoring reports | 543 | 571 | descriptive | descriptive | other | the presence of schools and irrigation canals in a sample number of areas will be validated through satellite imagery against ⟦community monitoring reports⟧ | true | null | |
refugee_pads:000032 | 30 | 0 | national multi-hazard risk assessment | 1,447 | 1,484 | descriptive | descriptive | report | A ⟦national multi-hazard risk assessment⟧ was recently finalized and will provide critical data and mappings | true | null | |
refugee_pads:000032 | 32 | 0 | poverty data | 400 | 412 | vague | vague | other | better mapping and ⟦poverty data⟧ collection | true | null | |
refugee_pads:000032 | 36 | 0 | gender-disaggregated data | 1,354 | 1,379 | descriptive | descriptive | other | Performance indicators for gender, including ⟦gender-disaggregated data⟧ and citizen engagement, have been incorporated into the project’s Results Framework | true | null | |
refugee_pads:000032 | 36 | 0 | satellite imagery data | 1,843 | 1,865 | descriptive | descriptive | geospatial | their ⟦satellite imagery data⟧ in order to verify infrastructure assets and gaps | true | null | |
refugee_pads:000032 | 36 | 1 | satellite imagery data | 61 | 83 | descriptive | descriptive | geospatial | their ⟦satellite imagery data⟧ in order to verify infrastructure assets and gaps | true | null | |
refugee_pads:000032 | 39 | 0 | 2015 corruption perceptions index | 1,779 | 1,812 | named | named | indicator | Afghanistan ranks as the third most corrupt country in the world in Transparency International’s ⟦2015 corruption perceptions index⟧ | true | null | |
refugee_pads:000032 | 40 | 0 | national multi-hazard risk assessment | 941 | 978 | descriptive | descriptive | report | A ⟦national multi-hazard risk assessment⟧ was recently finalized by the World Bank's South Asia Disaster Risk Management Team, which will provide critical data and mappings | true | null | |
refugee_pads:000032 | 41 | 0 | 2015 Afghanistan study | 417 | 439 | descriptive | named | other | the projects surveyed in a ⟦2015 Afghanistan study⟧ | false | null | |
refugee_pads:000032 | 41 | 1 | Rocks Database | 1,545 | 1,559 | named | named | database | the benchmarks used for the comparison come from MRRD (NERAP and CARD-F projects), the World Bank’s ⟦Rocks Database⟧ | true | null | |
refugee_pads:000032 | 42 | 0 | rural infrastructure surveys | 828 | 856 | descriptive | descriptive | survey | reviewed available ⟦rural infrastructure surveys⟧ and ⟦administrative and project data⟧ from the various line agencies | true | null | |
refugee_pads:000032 | 42 | 0 | administrative and project data | 861 | 892 | descriptive | descriptive | administrative | reviewed available ⟦rural infrastructure surveys⟧ and ⟦administrative and project data⟧ from the various line agencies | true | null | |
refugee_pads:000032 | 42 | 1 | Afghanistan Financial Management Information System | 1,082 | 1,133 | named | named | system | Project transactions will be recorded in the ⟦Afghanistan Financial Management Information System⟧ (AFMIS) by MoF. | true | null | |
refugee_pads:000032 | 43 | 1 | AFMIS | 670 | 675 | named | named | system | the project financial statements will be prepared by MoF, using the ⟦AFMIS⟧. | true | null | |
refugee_pads:000032 | 60 | 1 | community monitoring reports | 740 | 768 | descriptive | descriptive | other | the presence of schools and irrigation canals in a sample number of areas will be validated through satellite imagery against ⟦community monitoring reports⟧ | true | null | |
refugee_pads:000032 | 63 | 1 | national multi-hazard risk assessment | 954 | 991 | descriptive | descriptive | report | A ⟦national multi-hazard risk assessment⟧ was just recently finalized and will provide critical data and mappings | true | null | |
refugee_pads:000032 | 75 | 4 | data of beyond city boundaries | 517 | 547 | descriptive | vague | other | collecting ⟦data of beyond city boundaries⟧ of five main cities & 28 Strategic District Municipalities | true | null | |
refugee_pads:000032 | 76 | 0 | public financial management performance indicators | 932 | 982 | descriptive | descriptive | other | Afghanistan’s ratings against the ⟦public financial management performance indicators⟧ generally portray a public sector where financial resources are, by and large, being used for their intended purposes. | false | null | |
refugee_pads:000032 | 78 | 1 | quarterly IFRs | 1,115 | 1,129 | descriptive | descriptive | report | The ⟦quarterly IFRs⟧ will compare actual expenditures to budgeted expenditures, and explain significant variances. | true | null | |
refugee_pads:000032 | 79 | 1 | AFMIS | 612 | 617 | named | named | system | All project bank accounts (including the clearance accounts) will be reconciled by MRRD and IDLG at least on a monthly basis with ⟦AFMIS⟧ and ⟦DAB records⟧. | true | null | |
refugee_pads:000032 | 79 | 1 | DAB records | 622 | 633 | named | named | administrative | All project bank accounts (including the clearance accounts) will be reconciled by MRRD and IDLG at least on a monthly basis with ⟦AFMIS⟧ and ⟦DAB records⟧. | true | null | |
refugee_pads:000032 | 79 | 1 | AFMIS records | 1,392 | 1,405 | named | named | administrative | The financial statements for the project audit will be prepared by MoF based on ⟦AFMIS records⟧. | true | null | |
refugee_pads:000032 | 80 | 1 | IFRs | 870 | 874 | descriptive | vague | report | The advances to the DAs will be a floating amount based on the forecasts provided in the ⟦IFRs⟧. | true | null | |
refugee_pads:000032 | 83 | 0 | clearance account bank statements | 358 | 391 | descriptive | descriptive | administrative | MRRD/ IDLG will have access to the ⟦clearance account bank statements⟧ on a daily basis. | true | null |
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