Datasets:
rafmacalaba
/
fcv-validations

Dataset card Data Studio Files
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refugee_pads:000002
13
1
registered refugee population
1,584
1,613
descriptive
vague
other
About 53 percent of Kenya’s ⟦registered refugee population⟧ of about 550,000
false
null
refugee_pads:000002
13
2
United Nations World Population Prospects
445
486
named
named
estimates
⟦United Nations World Population Prospects⟧: 2022 Revision
true
null
refugee_pads:000002
13
2
World Bank national accounts data
508
541
named
named
database
⟦World Bank national accounts data⟧.
true
null
refugee_pads:000002
13
2
Kenya Population and Housing Census
660
695
named
named
census
⟦Kenya Population and Housing Census⟧ (2019)
true
null
refugee_pads:000002
14
2
GoK (2021) Economic Survey 2021
774
805
named
named
report
⟦GoK (2021) Economic Survey 2021⟧, Kenya National Bureau of Statistics
true
null
refugee_pads:000002
17
0
spatial profiles
1,436
1,452
descriptive
descriptive
geospatial
UN-Habitat has developed ⟦spatial profiles⟧ (2021) as a baseline for the future planning and development of the areas, mapping local development opportunities and challenges and infrastructure requirements
true
null
refugee_pads:000002
27
0
UACA
412
416
named
named
other
all urban areas (cities, municipalities, towns and market centers as per ⟦UACA⟧)
false
null
refugee_pads:000002
29
1
urban service delivery database
365
396
descriptive
descriptive
database
Setting up ⟦urban service delivery database⟧, M&E activities
true
null
refugee_pads:000002
30
1
2019 census
1,135
1,146
named
descriptive
census
as per the ⟦2019 census⟧
true
null
refugee_pads:000002
30
2
2019 population census
312
334
named
descriptive
census
according to the ⟦2019 population census⟧
true
null
refugee_pads:000002
35
1
WHR UIG MCs
963
974
named
named
other
DLI 6 will be disbursed based on the scores met by counties on the ⟦WHR UIG MCs⟧
false
null
refugee_pads:000002
38
0
M&E data
1,434
1,442
descriptive
vague
other
⟦M&E data⟧ will come from the government’s own systems
true
null
refugee_pads:000002
46
2
data provided by CoG
718
738
descriptive
descriptive
other
Analysis based on ⟦data provided by CoG⟧ on current board composition as of February 2023
true
null
refugee_pads:000002
47
0
gender disaggregated data
572
597
descriptive
vague
other
the results framework will collect ⟦gender disaggregated data⟧ across all indicators where possible
true
null
refugee_pads:000002
55
0
business enterprise database
466
494
descriptive
descriptive
database
Participating urban board with up-to-date ⟦business enterprise database⟧
true
null
refugee_pads:000002
60
0
BTORs
1,201
1,206
named
named
report
Reports|⟦BTORs⟧|NPCT
true
null
refugee_pads:000002
62
0
business enterprise database
679
707
descriptive
descriptive
database
Participating urban board with up-to-date ⟦business enterprise database⟧ of local businesses
true
null
refugee_pads:000002
71
1
APA report
645
655
named
named
report
⟦APA report⟧ produced by the IVA
true
null
refugee_pads:000002
78
0
Annual county expenditure statement
601
636
descriptive
descriptive
report
⟦Annual county expenditure statement⟧ shows that the county has followed approved annual County Annual Development Plan and UIG expenditure guidelines and POM
true
null
refugee_pads:000002
78
1
2019 population census
351
373
named
descriptive
census
the number of urban residents according to the ⟦2019 population census⟧
true
null
refugee_pads:000002
82
0
Annual county expenditure statement
645
680
descriptive
descriptive
report
⟦Annual county expenditure statement⟧ shows that the county has followed approved County Annual Development Plan and UIG expenditure guidelines and POM
true
null
refugee_pads:000002
82
2
grievances records
564
582
descriptive
descriptive
administrative
GRM constituted and ⟦grievances records⟧ being maintained at Municipality level
true
null
refugee_pads:000002
91
1
private sector database
365
388
descriptive
descriptive
database
guidance/templates on M&E). Most of these guidelines are to be included in the POM. ... factoring in climate resilience, ⟦private sector database⟧
true
null
refugee_pads:000002
92
2
Census 2019
569
580
named
descriptive
census
Urban population in Dadaab Town (⟦Census 2019⟧)
true
null
refugee_pads:000002
92
2
Census 2019
658
669
named
descriptive
census
Urban population of 22,978 in Kakuma Town and 2,000 in Kalobei Town (⟦Census 2019⟧)
true
null
refugee_pads:000002
95
0
monthly financial reports
1,958
1,983
descriptive
descriptive
report
Based on the ⟦monthly financial reports⟧[1], counties will prepare quarterly IFRs
true
null
refugee_pads:000002
95
1
monthly reports
26
41
descriptive
descriptive
report
the ⟦monthly reports⟧[2] prepared by the counties and urban entities will be used for the budget monitoring
true
null
refugee_pads:000002
95
1
monthly financial reports
139
164
descriptive
descriptive
report
Based on the ⟦monthly financial reports⟧[3], counties will prepare quarterly IFRs
true
null
refugee_pads:000002
99
2
data on corruption reports
923
949
descriptive
vague
other
However, ⟦data on corruption reports⟧[4] received and
true
null
refugee_pads:000003
13
2
Cameroon Household Survey
993
1,018
named
named
survey
World Bank projection based on the latest ⟦Cameroon Household Survey⟧[5] conducted in 2014
true
null
refugee_pads:000003
14
0
United Nations High Commissioner for Refugees (UNHCR) statistics
1,165
1,229
named
named
other
According to ⟦United Nations High Commissioner for Refugees (UNHCR) statistics⟧[6], in the Minawao refugee camp
true
null
refugee_pads:000003
16
2
UNHCR Cameroon Statistics
449
474
named
named
other
Source: ⟦UNHCR Cameroon Statistics⟧[7], April 2023
true
null
refugee_pads:000003
17
0
2021 International Labor Organization estimates
784
831
named
named
estimates
According to ⟦2021 International Labor Organization estimates⟧[8], women are less than half as likely as men
true
null
refugee_pads:000003
17
2
World Bank Gender Data Portal
786
815
named
named
database
18 ⟦World Bank Gender Data Portal⟧[9]
true
null
refugee_pads:000003
18
0
UNHCR statistics
461
477
named
named
other
According to ⟦UNHCR statistics⟧[10], 78,722 refugees
true
null
refugee_pads:000003
18
1
2020 vulnerability index
1,739
1,763
named
descriptive
indicator
on the ⟦2020 vulnerability index⟧[11] of the Notre Dame Global Adaptation Initiative
true
null
refugee_pads:000003
18
2
2020 vulnerability index
36
60
named
descriptive
indicator
on the ⟦2020 vulnerability index⟧[12] of the Notre Dame Global Adaptation Initiative
true
null
refugee_pads:000003
19
0
Rainfall projections
1,588
1,608
descriptive
descriptive
estimates
⟦Rainfall projections⟧[13] indicate that the road exposure to heavy downpours and sustained periods of rainfall is likely to increase over time
true
null
refugee_pads:000003
19
2
Data for 2017
1,315
1,328
vague
vague
other
⟦Data for 2017⟧[14], from the ⟦Integrated Strategy for Multimodal Transport Infrastructure⟧[15]
true
null
refugee_pads:000003
19
2
Integrated Strategy for Multimodal Transport Infrastructure
1,339
1,398
named
named
other
from the ⟦Integrated Strategy for Multimodal Transport Infrastructure⟧[15]
false
null
refugee_pads:000003
20
0
Climate data
459
471
vague
vague
other
⟦Climate data⟧[16] and risks are not systematically included in the planning of interventions
true
null
refugee_pads:000003
20
1
road accident database
359
381
descriptive
descriptive
database
the government established a ⟦road accident database⟧[17]
true
null
refugee_pads:000003
20
1
2021 data from the International Labour Organization
744
796
named
named
other
According to ⟦2021 data from the International Labour Organization⟧[18], only 10 percent
true
null
refugee_pads:000003
20
2
Global Health Observatory data repository
767
808
named
named
database
⟦Global Health Observatory data repository⟧[19] accessed on February 1, 2022
true
null
refugee_pads:000003
20
2
2021 data from the International Labour Organization
898
950
named
named
other
⟦2021 data from the International Labour Organization⟧[20]:
true
null
refugee_pads:000003
22
0
2020 data
397
406
vague
vague
other
The RAI is estimated at 48 percent using ⟦2020 data⟧[21]
true
null
refugee_pads:000003
26
0
road user satisfaction surveys
466
496
descriptive
descriptive
survey
third-party integrated performance audits and ⟦road user satisfaction surveys⟧[22]
true
null
refugee_pads:000003
28
0
road accident database management system
1,125
1,165
descriptive
descriptive
system
Developing and operationalizing a ⟦road accident database management system⟧[23] disaggregated by gender, refugee, and host community
true
null
refugee_pads:000003
28
1
road accident database management system
897
937
descriptive
descriptive
system
development and operationalization of a ⟦road accident database management system⟧[24] disaggregated by gender, refugee, and host communities
true
null
refugee_pads:000003
35
1
survey data
1,664
1,675
vague
descriptive
survey
baseline and follow-up ⟦survey data⟧[25] on key performance indicators are available and regularly updated
true
null
refugee_pads:000003
41
0
Open Street Map
198
213
named
named
geospatial
Based on ⟦Open Street Map⟧[26], ⟦business census⟧[27], and ⟦sectoral data⟧[28]
true
null
refugee_pads:000003
41
0
business census
215
230
descriptive
descriptive
census
Based on ⟦Open Street Map⟧[26], ⟦business census⟧[27], and ⟦sectoral data⟧[28]
true
null
refugee_pads:000003
41
0
sectoral data
236
249
descriptive
vague
other
Based on ⟦Open Street Map⟧[26], ⟦business census⟧[27], and ⟦sectoral data⟧[28]
true
null
refugee_pads:000003
61
0
Traffic Survey
519
533
descriptive
descriptive
survey
**Datasource**<br>⟦Traffic Survey⟧[29]<br>and M&E<br>Reports
true
null
refugee_pads:000003
61
1
GIS database
346
358
descriptive
descriptive
database
⟦GIS database⟧[30]
true
null
refugee_pads:000003
62
0
UNHCR data
631
641
named
named
survey
Surveys<br>⟦UNHCR data⟧[1]
true
null
refugee_pads:000003
71
1
international corruption index
737
767
named
descriptive
indicator
low ranking from the transparency|**High**|oriented toward a public financial|**High**|⟦international corruption index⟧[2]
true
null
refugee_pads:000003
72
2
consolidated financial data
868
895
descriptive
descriptive
other
Inability to generate acceptable ⟦consolidated financial data⟧[3]<br>on time.
true
null
refugee_pads:000003
76
0
AWPBs
265
270
named
named
other
incremental expenses incurred by the PIUs based on the ⟦AWPBs⟧[4] as approved by the World Bank
false
null
refugee_pads:000003
78
1
Annual average temperatures
730
757
descriptive
descriptive
indicator
⟦Annual average temperatures⟧[5] have been increasing since the 1960s
true
null
refugee_pads:000003
78
2
Rainfall projections
702
722
descriptive
descriptive
estimates
⟦Rainfall projections⟧[6]<br>indicate that the road’s exposure to heavy downpours
true
null
refugee_pads:000003
79
2
road safety data
283
299
descriptive
descriptive
other
a ⟦road safety data⟧[7] collection and<br>management system will help improve climate resilience
true
null
refugee_pads:000003
81
0
road accident database management system
841
881
descriptive
descriptive
system
developing and operationalizing a ⟦road accident database management system⟧[8]
false
null
refugee_pads:000004
14
2
Fertility Rate, Total – Burundi
490
521
named
named
indicator
World Bank. 2020. “⟦Fertility Rate, Total – Burundi⟧[9].” https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=BI
true
null
refugee_pads:000004
15
0
ND-GAIN Country Index
1,075
1,096
named
named
indicator
ranks 169 out of 185 countries in the ⟦ND-GAIN Country Index⟧[10] (2021)
true
null
refugee_pads:000004
15
1
ND-GAIN Country Index
1,828
1,849
named
named
indicator
The ⟦ND-GAIN Country Index⟧[11] summarizes a country’s vulnerability to climate change
true
null
refugee_pads:000004
15
2
ND-GAIN Country Index
159
180
named
named
indicator
The ⟦ND-GAIN Country Index⟧[12] summarizes a country’s vulnerability to climate change and other global challenges
true
null
refugee_pads:000004
15
2
World Bank Group enterprise survey
1,857
1,891
named
named
survey
this project will align with the ⟦World Bank Group enterprise survey⟧[13] that considers the following categories
true
null
refugee_pads:000004
15
3
World Bank Group enterprise survey
203
237
named
named
survey
the ⟦World Bank Group enterprise survey⟧[14] that considers the following categories
true
null
refugee_pads:000004
16
2
2008 General Population and Housing Census
1,541
1,583
named
named
census
> 18 percent are women. Although Burundian women have access to community-based savings and lending groups, they rarely control the use of the credit at the household level.<sup>18</sup>
false
null
refugee_pads:000004
16
3
2008 General Population and Housing Census
153
195
named
named
census
> 18 ⟦2008 General Population and Housing Census⟧[15].
true
null
refugee_pads:000004
17
0
public credit registry
593
615
descriptive
descriptive
administrative
the ⟦public credit registry⟧[17] ( _Centrale des Risques_ ) at the Central Bank needs to be modernized
true
null
refugee_pads:000004
17
0
motor vehicles registry
1,081
1,104
descriptive
descriptive
administrative
for example, ⟦motor vehicles registry⟧[18],
true
null
refugee_pads:000004
17
0
commercial companies‘ registry
1,106
1,136
descriptive
descriptive
administrative
⟦commercial companies‘ registry⟧[19],
true
null
refugee_pads:000004
17
0
intellectual property registry
1,138
1,168
descriptive
descriptive
administrative
⟦intellectual property registry⟧[20]),
true
null
refugee_pads:000004
17
2
MSME Finance Gap
1,108
1,124
named
named
database
SME Finance Forum. “⟦MSME Finance Gap⟧[21].” https://www.smefinanceforum.org/data-sites/msme-finance-gap
true
null
refugee_pads:000004
20
2
gender-disaggregated data
420
445
descriptive
descriptive
other
availability of ⟦gender-disaggregated data⟧[22];
true
null
refugee_pads:000004
22
1
public credit registry
1,635
1,657
descriptive
descriptive
administrative
the modernization of the ⟦public credit registry⟧[23] ( _Centrale des risques_ ) under the BRB’s lead
true
null
refugee_pads:000004
23
1
meteorological data
1,531
1,550
descriptive
descriptive
other
The capacity of the Geographic Institute of Burundi ( _Institut Géographique du Burundi_ or IGEBU) for improving ⟦meteorological data⟧[24] and services will be strengthened
true
null
refugee_pads:000004
26
0
baseline data
1,195
1,208
vague
vague
other
could not be calculated at this stage due to the lack of ⟦baseline data⟧[25], but it will be collected during project implementation
true
null
refugee_pads:000004
28
1
monitoring data
410
425
descriptive
vague
other
complemented by the ⟦monitoring data⟧[26] collected regularly by the PIU
true
null
refugee_pads:000004
29
2
latest available data
1,190
1,211
vague
vague
other
based on ⟦latest available data⟧[27].
true
null
refugee_pads:000004
35
1
movables collateral registry
317
345
descriptive
descriptive
administrative
Number of MSMEs registered in the ⟦movables collateral registry⟧[28]
true
null
refugee_pads:000004
38
0
FIGA and PFIs
538
551
named
named
administrative
**Data Source**|⟦FIGA and PFIs⟧[29]
true
null
refugee_pads:000004
38
1
FIGA and PFIs
523
536
named
named
other
|Data Source|⟦FIGA and PFIs⟧[1]|
true
null
refugee_pads:000004
38
1
Implementing partners and project records
1,142
1,183
descriptive
descriptive
other
|Data Source|⟦Implementing partners and project records⟧[2]: Consolidation of project records from PPCG Fund Manager, implementing<br>partners, productive infrastructureproviders,and so on.
true
null
refugee_pads:000004
39
0
Implementing partners and project records
1,171
1,212
descriptive
descriptive
other
|Data Source|⟦Implementing partners and project records⟧[3]: Consolidation of project records from PPCG Fund Manager, implementing<br>partners, productive infrastructureproviders,and so on.
true
null
refugee_pads:000004
39
1
Project disbursment records
1,059
1,086
descriptive
descriptive
other
|Methodology for Data<br>Collection|⟦Project disbursment records⟧[4]|
true
null
refugee_pads:000004
40
1
Training records
1,196
1,212
descriptive
descriptive
other
|Methodology for Data<br>Collection|⟦Training records⟧[5]|
true
null
refugee_pads:000004
40
1
Data aggregated by PIU
1,253
1,275
descriptive
descriptive
other
|Responsibility for Data<br>Collection|⟦Data aggregated by PIU⟧[6]|
false
null
refugee_pads:000004
41
0
Data aggregated by PIU
235
257
descriptive
descriptive
other
|Responsibility for Data<br>Collection|⟦Data aggregated by PIU⟧[7]|
false
null
refugee_pads:000004
41
0
Data aggregated by PIU
692
714
descriptive
descriptive
other
|Responsibility for Data<br>Collection|⟦Data aggregated by PIU⟧[8]|
false
null
refugee_pads:000004
41
0
Grant disbursement records
1,053
1,079
descriptive
descriptive
other
|Methodology for Data<br>Collection|⟦Grant disbursement records⟧[9]|
true
null
refugee_pads:000004
41
0
Data aggregated by PIU
1,120
1,142
descriptive
descriptive
other
|Responsibility for Data<br>Collection|⟦Data aggregated by PIU⟧[10]|
false
null
refugee_pads:000004
41
1
Grant disbursement records
192
218
descriptive
descriptive
other
|Methodology for Data<br>Collection|⟦Grant disbursement records⟧[11]|
true
null
refugee_pads:000004
41
1
Data aggregated by PIU
259
281
descriptive
descriptive
other
|Responsibility for Data<br>Collection|⟦Data aggregated by PIU⟧[12]|
false
null
refugee_pads:000004
41
1
Periodic surveys
1,055
1,071
descriptive
descriptive
survey
|Methodology for Data<br>Collection|⟦Periodic surveys⟧[13]|
true
null
refugee_pads:000004
42
0
Periodic surveys
442
458
descriptive
descriptive
survey
|Methodology for Data<br>Collection|⟦Periodic surveys⟧[14]|
true
null
refugee_pads:000004
42
1
Periodic survey
387
402
descriptive
descriptive
survey
|Methodology for Data<br>Collection|⟦Periodic survey⟧[15]|
true
null
refugee_pads:000004
42
1
Project records
840
855
descriptive
descriptive
other
|Data Source|⟦Project records⟧[16]|
true
null