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|---|---|---|---|---|---|---|---|---|---|---|---|---|
jdc_operational:000062 | 24 | 0 | Annual Program Assessments results | 438 | 472 | named | descriptive | other | ⟦Annual Program Assessments results⟧[10] showed that most MLGs scored above 90 percent | true | null | |
jdc_operational:000062 | 25 | 0 | DLI tables | 261 | 271 | descriptive | descriptive | other | reflects the core changes to the ⟦DLI tables⟧[11] | false | null | |
jdc_operational:000062 | 25 | 3 | annex DLI table | 314 | 329 | descriptive | descriptive | other | refer to ⟦annex DLI table⟧[12] for detailed breakdown of the DLIs per year | false | null | |
jdc_operational:000062 | 26 | 1 | municipal poverty head count | 120 | 148 | descriptive | descriptive | other | ⟦municipal poverty head count⟧[13] (40 percent) | false | null | |
jdc_operational:000062 | 29 | 2 | Uganda National Household Survey | 605 | 637 | named | named | survey | ⟦Uganda National Household Survey⟧[14] 2016/17 | true | null | |
jdc_operational:000062 | 36 | 2 | Municipal reports | 904 | 921 | descriptive | descriptive | report | ⟦Municipal reports⟧[15] | true | null | |
jdc_operational:000062 | 36 | 3 | Municipal reports | 117 | 134 | descriptive | descriptive | report | ⟦Municipal reports⟧[16] | true | null | |
jdc_operational:000062 | 36 | 3 | Municipal reports | 459 | 476 | descriptive | descriptive | report | ⟦Municipal reports⟧[17] | true | null | |
jdc_operational:000062 | 37 | 4 | MoLHUD results | 129 | 143 | named | descriptive | other | ⟦MoLHUD results⟧[18] | false | null | |
jdc_operational:000062 | 38 | 0 | PDO Level Results Data | 32 | 55 | named | descriptive | other | ⟦PDO Level Results Data⟧[19] | false | null | |
jdc_operational:000062 | 38 | 1 | data base | 366 | 375 | vague | descriptive | database | The ⟦data base⟧[20] will provide quick information on land ownership | true | null | |
jdc_operational:000062 | 46 | 3 | Bank Disbursement Table | 507 | 530 | named | descriptive | other | as per the formula in the ⟦Bank Disbursement Table⟧[21] | false | null | |
jdc_operational:000062 | 47 | 0 | Bank Disbursement Table | 8 | 31 | named | descriptive | other | ##### **⟦Bank Disbursement Table⟧[22]** | false | null | |
jdc_operational:000062 | 53 | 0 | annual performance assessments | 1,572 | 1,602 | descriptive | descriptive | other | based on the results from the ⟦annual performance assessments⟧[23] (APA) | false | null | |
jdc_operational:000062 | 55 | 0 | annual assessments | 719 | 737 | descriptive | descriptive | other | through the ⟦annual assessments⟧[24] | false | null | |
jdc_operational:000062 | 58 | 2 | MoLHUD | 1 | 7 | named | named | other | ⟦MoLHUD⟧[25] (PST) | false | null | |
jdc_operational:000062 | 61 | 2 | IFMS | 791 | 795 | named | named | system | combined with roll-out of ⟦IFMS⟧[26] to all the participating MLGs | true | null | |
jdc_operational:000062 | 66 | 1 | Self-reported data | 958 | 976 | descriptive | vague | other | _Source: ⟦Self-reported data⟧[27] during field level collections, October 2017._ | true | null | |
jdc_operational:000062 | 67 | 2 | population figures | 319 | 337 | descriptive | vague | indicator | Using up-dated ⟦population figures⟧[28] from FY 2017/18 | true | null | |
jdc_operational:000062 | 69 | 1 | data on employment | 484 | 502 | vague | vague | other | it was therefore ⟦data on employment⟧[29] was obtained | true | null | |
jdc_operational:000062 | 71 | 0 | independent Annual Performance Assessments and audits | 675 | 728 | descriptive | descriptive | report | as documented in the five years of ⟦independent Annual Performance Assessments and audits⟧[30] | true | null | |
jdc_operational:000062 | 8 | 2 | Uganda Urban Labor Force Survey | 824 | 855 | named | named | survey | ⟦Uganda Urban Labor Force Survey⟧[1] 2009 | true | null | |
jdc_operational:000062 | 9 | 0 | quick survey of estimated needs | 27 | 58 | descriptive | descriptive | survey | From the ⟦quick survey of estimated needs⟧[2] during the Technical Assessment | true | null | |
jdc_operational:000062 | 9 | 2 | Municipal Assets Inventory and Conditions Assessment | 894 | 946 | named | named | database | ⟦Municipal Assets Inventory and Conditions Assessment⟧[3] Final Report | true | null | |
jdc_operational:000063 | 13 | 1 | government records and archives | 1 | 32 | descriptive | descriptive | administrative | ⟦government records and archives⟧[4], etc. | true | null | |
jdc_operational:000063 | 17 | 0 | Mobile telecommunications coverage maps | 402 | 441 | descriptive | descriptive | geospatial | Figure 7: ⟦Mobile telecommunications coverage maps⟧[5] (3G) | true | null | |
jdc_operational:000063 | 18 | 0 | survey conducted in the Bidi Bidi refugee settlement | 172 | 224 | descriptive | descriptive | survey | key results of a ⟦survey conducted in the Bidi Bidi refugee settlement⟧[6] between October 2018 and January 2019 | true | null | |
jdc_operational:000063 | 18 | 0 | Survey of digital use of refugees | 1,172 | 1,205 | descriptive | descriptive | survey | Figure 9. ⟦Survey of digital use of refugees⟧[7] of the Bidi Bidi camp | true | null | |
jdc_operational:000063 | 19 | 1 | NITA-U Survey | 1,528 | 1,541 | named | named | survey | According to the 2017/2018 ⟦NITA-U Survey⟧[8], only 19% of Internet users consider themselves to be at any risk | true | null | |
jdc_operational:000063 | 1 | 0 | PROJECT FINANCING DATA | 880 | 902 | named | vague | other | ⟦PROJECT FINANCING DATA⟧[9] (US$, Millions) | false | null | |
jdc_operational:000063 | 2 | 1 | World Bank World Development Indicators | 1,512 | 1,551 | named | named | database | ⟦World Bank World Development Indicators⟧[10] (2017) | true | null | |
jdc_operational:000063 | 2 | 1 | State of Uganda Population Report | 1,736 | 1,769 | named | named | report | ⟦State of Uganda Population Report⟧[11] | true | null | |
jdc_operational:000063 | 2 | 2 | State of Uganda Population Report 2018 | 159 | 197 | named | named | report | ⟦State of Uganda Population Report 2018⟧[12] | true | null | |
jdc_operational:000063 | 2 | 2 | World Bank World Development Indicators | 205 | 244 | named | named | database | ⟦World Bank World Development Indicators⟧[13] (2017) | true | null | |
jdc_operational:000063 | 2 | 2 | Uganda National Household Survey | 259 | 291 | named | named | survey | ⟦Uganda National Household Survey⟧[14], Uganda Bureau of Statistics, 2017 | true | null | |
jdc_operational:000063 | 2 | 2 | World Bank World Development Indicators | 334 | 373 | named | named | database | ⟦World Bank World Development Indicators⟧[15] (2013) | true | null | |
jdc_operational:000063 | 3 | 0 | mobile phone subscribers | 1,432 | 1,456 | descriptive | descriptive | other | the significant uptake of ⟦mobile phone subscribers⟧[16], which grew from 14.7 million in 2010 to 21.7 million in 2018 | false | null | |
jdc_operational:000063 | 3 | 1 | 2017/2018 survey | 1,055 | 1,071 | descriptive | vague | survey | According to the ⟦2017/2018 survey⟧[17] by | true | null | |
jdc_operational:000063 | 3 | 2 | Uganda Refugee Report | 151 | 172 | named | named | report | The ⟦Uganda Refugee Report⟧[18] notes that 48% of the refugee population in Uganda live in poverty | true | null | |
jdc_operational:000063 | 4 | 0 | Findex database | 1,048 | 1,063 | named | named | database | The 2017 Global ⟦Findex database⟧[19] shows that 50% of adults have mobile money accounts in Uganda | true | null | |
jdc_operational:000063 | 4 | 1 | survey by Research ICT Africa | 739 | 768 | named | descriptive | survey | Based on a ⟦survey by Research ICT Africa⟧[20] in 2018 | true | null | |
jdc_operational:000063 | 4 | 1 | NITA-U survey | 1,180 | 1,193 | named | named | survey | 89% of respondents of the ⟦NITA-U survey⟧[21] who do not own a mobile phone | true | null | |
jdc_operational:000063 | 4 | 2 | National IT Survey 2017/2018 Report | 609 | 644 | named | named | report | 23 ⟦National IT Survey 2017/2018 Report⟧[22] | true | null | |
jdc_operational:000063 | 4 | 2 | Global Findex Database | 862 | 884 | named | named | database | ⟦Global Findex Database⟧[23], 2017 | true | null | |
jdc_operational:000063 | 5 | 1 | ICT survey | 701 | 711 | descriptive | descriptive | survey | Per the 2017/2018 ⟦ICT survey⟧[24] conducted by NITA-U | true | null | |
jdc_operational:000063 | 5 | 2 | National Household Survey 2012/13 | 832 | 865 | named | named | survey | ⟦National Household Survey 2012/13⟧[25] | true | null | |
jdc_operational:000063 | 5 | 2 | NITA-U survey | 1,206 | 1,219 | named | named | survey | ⟦NITA-U survey⟧[26] | true | null | |
jdc_operational:000063 | 5 | 2 | 2017/2018 ICT survey by NITA-U | 1,271 | 1,301 | named | descriptive | survey | The ⟦2017/2018 ICT survey by NITA-U⟧[27] referenced in the Diagnostic study | true | null | |
jdc_operational:000063 | 5 | 2 | NITA-U National ICT Survey | 1,483 | 1,509 | named | named | survey | ⟦NITA-U National ICT Survey⟧[28] Report, 2018 | true | null | |
jdc_operational:000063 | 6 | 2 | UN eGovernment Development Index | 729 | 761 | named | named | indicator | The ⟦UN eGovernment Development Index⟧[29] (EGDI) ranges from 0 to 1. It is a composite measure | false | null | |
jdc_operational:000063 | 7 | 0 | World Bank 2013 Enterprise Survey | 701 | 734 | named | named | survey | According to the ⟦World Bank 2013 Enterprise Survey⟧[30], only 40% of the firms were using email | true | null | |
jdc_operational:000063 | 7 | 2 | Uganda UN eGovernment Survey 2018 | 457 | 490 | named | named | survey | ⟦Uganda UN eGovernment Survey 2018⟧[1]. | true | null | |
jdc_operational:000063 | 7 | 2 | World Bank Enterprise Surveys 2013 | 667 | 701 | named | named | survey | ⟦World Bank Enterprise Surveys 2013⟧[2]. | true | null | |
jdc_operational:000064 | 101 | 1 | school condition information | 1,057 | 1,085 | descriptive | descriptive | other | also gather ⟦school condition information⟧[3] that is then shared with engineers. | true | null | |
jdc_operational:000064 | 105 | 1 | activity logs | 598 | 611 | descriptive | descriptive | administrative | Examination of random sample of anonymized hotline ⟦activity logs⟧[4] at end of first year | true | null | |
jdc_operational:000064 | 10 | 1 | data for 28,351 out-of-school children | 546 | 584 | vague | vague | other | (⟦data for 28,351 out-of-school children⟧[5] out of a sample of 57,577 refugee children) | true | null | |
jdc_operational:000064 | 10 | 2 | UNHCR Household Survey | 222 | 244 | named | named | survey | ⟦UNHCR Household Survey⟧[6], March 2016. | true | null | |
jdc_operational:000064 | 11 | 2 | UNHCR registered Syrian refugees | 534 | 566 | descriptive | descriptive | administrative | ⟦UNHCR registered Syrian refugees⟧[7], November 2015. | true | null | |
jdc_operational:000064 | 16 | 1 | data on key education system outcomes | 1,328 | 1,365 | descriptive | vague | other | increased availability of ⟦data on key education system outcomes⟧[8], among other benefits. | true | null | |
jdc_operational:000064 | 17 | 1 | administrative data | 791 | 810 | descriptive | descriptive | administrative | CERD’s spot checks of ⟦administrative data⟧[9]. | true | null | |
jdc_operational:000064 | 17 | 1 | administrative data | 1,212 | 1,231 | descriptive | descriptive | administrative | verification will require triangulation of ⟦administrative data⟧[10] with independent verification | true | null | |
jdc_operational:000064 | 17 | 2 | administrative data | 4 | 23 | descriptive | descriptive | administrative | of ⟦administrative data⟧[11] with independent verification | true | null | |
jdc_operational:000064 | 18 | 0 | primary data | 223 | 235 | vague | descriptive | other | verification will include direct collection of ⟦primary data⟧[12]. | true | null | |
jdc_operational:000064 | 20 | 1 | procurement data base and indicators | 1,918 | 1,954 | descriptive | descriptive | database | for developing ⟦procurement data base and indicators⟧[13]. | true | null | |
jdc_operational:000064 | 20 | 2 | procurement data base | 20 | 41 | descriptive | descriptive | database | for developing ⟦procurement data base⟧[14] and indicators. | true | null | |
jdc_operational:000064 | 22 | 1 | D-RASATI survey | 1,203 | 1,218 | named | named | survey | Statistics provided by the Developing Rehabilitation Assistance to Schools and Teachers Improvement (⟦D-RASATI survey⟧[15], 2011) | true | null | |
jdc_operational:000064 | 23 | 0 | survey in Lebanon | 97 | 114 | descriptive | descriptive | survey | a recent ⟦survey in Lebanon⟧[16] confirmed | true | null | |
jdc_operational:000064 | 23 | 2 | Public Expenditure
16 | 648 | 671 | named | named | other | findings from the recent ⟦Public Expenditure
16⟧[17] | false | null | |
jdc_operational:000064 | 26 | 1 | procurement data | 711 | 727 | descriptive | descriptive | other | institutionalizing ⟦procurement data⟧[18] collection and publishing | true | null | |
jdc_operational:000064 | 29 | 1 | procurement data | 300 | 316 | descriptive | descriptive | other | institutionalize ⟦procurement data⟧[19] collection and publish procurement related decisions | true | null | |
jdc_operational:000064 | 31 | 1 | international and national-level survey data | 297 | 341 | descriptive | descriptive | survey | an analysis of ⟦international and national-level survey data⟧[20] reveals | true | null | |
jdc_operational:000064 | 34 | 1 | RACE 2 | 825 | 831 | named | vague | other | selected from ⟦RACE 2⟧[21] that relate to the Bank supported Program. | false | null | |
jdc_operational:000064 | 35 | 1 | teacher observation records | 410 | 437 | descriptive | descriptive | other | digitization of ⟦teacher observation records⟧[22] so that teacher progress and support measures can be tracked over time. | true | null | |
jdc_operational:000064 | 36 | 0 | school-level data | 618 | 635 | descriptive | descriptive | other | delays in the ability for MEHE or CERD to collect and use ⟦school-level data⟧[23] for decision-making. | true | null | |
jdc_operational:000064 | 44 | 0 | refugee-education data | 428 | 450 | descriptive | descriptive | other | inclusive of all ⟦refugee-education data⟧[24] | true | null | |
jdc_operational:000064 | 48 | 1 | disaggregated data | 344 | 362 | descriptive | descriptive | other | Annual data available from participating schools on ⟦disaggregated data⟧[25] on student | true | null | |
jdc_operational:000064 | 49 | 0 | disaggregated data | 253 | 271 | descriptive | descriptive | other | annual data available from participating schools on ⟦disaggregated data⟧[26] on student grade passing rates | true | null | |
jdc_operational:000064 | 4 | 0 | Program Financing Data | 772 | 794 | named | vague | other | ⟦Program Financing Data⟧[27] | false | null | |
jdc_operational:000064 | 52 | 0 | Enrollment data | 792 | 807 | descriptive | descriptive | other | ⟦Enrollment data⟧[28] should be provided in March and verified within a month period. | true | null | |
jdc_operational:000064 | 52 | 1 | Enrollment data | 610 | 625 | vague | descriptive | other | ⟦Enrollment data⟧[29] should be provided in March and verified within a month period. | true | null | |
jdc_operational:000064 | 52 | 2 | Enrollment data | 631 | 646 | vague | descriptive | other | ⟦Enrollment data⟧[30] should be provided in March and verified within a month period. | true | null | |
jdc_operational:000064 | 52 | 3 | intervention records | 313 | 333 | descriptive | descriptive | administrative | along with the ⟦intervention records⟧[1] (classroom observation and teacher | true | null | |
jdc_operational:000064 | 52 | 3 | training records | 375 | 391 | descriptive | descriptive | administrative | (classroom observation and teacher ⟦training records⟧[2]) | true | null | |
jdc_operational:000064 | 53 | 0 | assessments records | 717 | 736 | descriptive | descriptive | administrative | Check ⟦assessments records⟧[3] for a sample of schools. | true | null | |
jdc_operational:000064 | 53 | 0 | School records | 918 | 932 | descriptive | descriptive | administrative | |DLI # 5|For second-shift schools, a community partnership is formed through the establishment of community liaisons as per MEHE's procedure.|Yes|⟦School records⟧[4]|Third | true | null | |
jdc_operational:000064 | 53 | 0 | school records | 958 | 972 | descriptive | descriptive | administrative | Review of ⟦school records⟧[5] to verify minutes of meetings for the executive committee of the parent council | true | null | |
jdc_operational:000064 | 53 | 1 | disaggregated enrollment data | 746 | 775 | descriptive | descriptive | administrative | CERD publishes the ⟦disaggregated enrollment data⟧[6] for all schools on its website in August of eachyear. | true | null | |
jdc_operational:000064 | 56 | 0 | Bank Disbursement Table | 16 | 39 | named | named | other | ## **Table A3.3 ⟦Bank Disbursement Table⟧[7]** | false | null | |
jdc_operational:000064 | 59 | 0 | disaggregated data | 754 | 772 | descriptive | descriptive | administrative | Annual data available from participating schools on ⟦disaggregated data⟧[8] on student enrollment by March 1 in each year | true | null | |
jdc_operational:000064 | 59 | 1 | disaggregated data | 61 | 79 | descriptive | descriptive | administrative | from participating schools on ⟦disaggregated data⟧[9] on student enrollment by March 1 in each year | true | null | |
jdc_operational:000064 | 59 | 1 | disaggregated data | 194 | 212 | descriptive | descriptive | administrative | from participating schools on ⟦disaggregated data⟧[10] on student grade passing rates by August | true | null | |
jdc_operational:000064 | 62 | 0 | internal audit reports | 734 | 756 | descriptive | descriptive | report | US$600,000 disbursed for four ⟦internal audit reports⟧[11] produced per year. | true | null | |
jdc_operational:000064 | 62 | 1 | internal audit reports | 42 | 64 | descriptive | descriptive | report | US$600,000 disbursed for four ⟦internal audit reports⟧[12] produced per year. | true | null | |
jdc_operational:000064 | 63 | 1 | Disbursement-Linked Indicators | 413 | 443 | descriptive | named | other | through the use of ⟦Disbursement-Linked Indicators⟧[13]. | false | null | |
jdc_operational:000064 | 64 | 1 | D-RASATI survey | 1,859 | 1,874 | named | named | survey | Statistics provided by the ⟦D-RASATI survey⟧[14] (2011) | true | null | |
jdc_operational:000064 | 65 | 0 | recent survey | 1,021 | 1,034 | descriptive | descriptive | survey | First, a ⟦recent survey⟧[15] confirmed that the greater the distance to school | true | null | |
jdc_operational:000064 | 65 | 1 | infrastructure data | 1,648 | 1,667 | descriptive | descriptive | other | Based on ⟦infrastructure data⟧[16] collected in 2011 | true | null | |
jdc_operational:000064 | 67 | 1 | school-level data | 1,512 | 1,529 | descriptive | descriptive | administrative | delays in the ability for MEHE or CERD to collect and use ⟦school-level data⟧[17] for decision-making. | true | null | |
jdc_operational:000064 | 68 | 1 | Timely data | 1,772 | 1,783 | vague | vague | other | ⟦Timely data⟧[18] will go a long way in rendering current spending more efficient and better targeted. | true | null | |
jdc_operational:000064 | 70 | 1 | Data source: Ministry of Finance | 1,208 | 1,240 | descriptive | named | administrative | ⟦Data source: Ministry of Finance⟧[19]. | true | null |
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