rafmacalaba/fcv-validations · Data Studio

doc_id stringlengths 16 27	page int64 0 3.45k	chunk int64 0 38	mention_name stringlengths 2 86	start int64 0 2.75k	end int64 4 2.78k	extractor_specificity stringclasses 3 values	specificity stringclasses 3 values	typology stringclasses 11 values	usage stringlengths 0 1.45k ⌀	valid_data_mention bool 2 classes	judge_error stringclasses 1 value
refugee_pads:000084	160	0	MTF	318	321	named	named	survey	The ⟦MTF⟧[21] study of 2018 has established that 94 percent of households	true	null
refugee_pads:000084	160	1	ECCH assessment	739	754	descriptive	named	other	The recent ⟦ECCH assessment⟧[22] grouped Niger households in three broad overlapping sets of cooks	true	null
refugee_pads:000084	162	1	2018 MTF	2,038	2,046	named	named	survey	The ⟦2018 MTF⟧[23] ranks the fuel-	true	null
refugee_pads:000084	164	1	ESMAP-ECCH study	912	928	named	named	other	identified in the ⟦ESMAP-ECCH study⟧[24]	false	null
refugee_pads:000084	170	0	sex-disaggregated data	181	203	descriptive	vague	other	limited ⟦sex-disaggregated data⟧[25] are available in Niger	true	null
refugee_pads:000084	170	0	global data	232	243	vague	vague	other	but ⟦global data⟧[26] that are available indicate that women are underrepresented	true	null
refugee_pads:000084	172	0	disaggregated data	2,053	2,071	vague	vague	other	the collection of ⟦disaggregated data⟧[27] and gender-responsive M&E	true	null
refugee_pads:000084	172	1	disaggregated data	203	221	vague	vague	other	the collection of ⟦disaggregated data⟧[28] and gender-responsive M&E	true	null
refugee_pads:000084	174	0	average historical occurrence of wildfire	556	597	descriptive	descriptive	other	The ⟦average historical occurrence of wildfire⟧[29] in the project region is shown in figure 7.1.	false	null
refugee_pads:000084	174	1	Global Fire Emissions Database	918	948	named	named	other	“Analysis of Daily, Monthly, and Annual Burned Area Using the Fourth ‐ Generation ⟦Global Fire Emissions Database⟧[30] (GFED4).”	false	null
refugee_pads:000084	175	0	susceptibility data	444	463	vague	descriptive	geospatial	this ⟦susceptibility data⟧ can inform regions where more detailed studies	true	null
refugee_pads:000084	175	0	Probabilistic data	1,552	1,570	vague	vague	estimates	⟦Probabilistic data⟧ on drought risk are not available at the writing of this document	true	null
refugee_pads:000084	175	1	Probabilistic data on drought risk	26	60	descriptive	descriptive	estimates	⟦Probabilistic data on drought risk⟧ are not available at the writing of this document	true	null
refugee_pads:000084	175	1	Data from Broeckx et al. 2018	483	512	named	named	geospatial	⟦Data from Broeckx et al. 2018⟧	true	null
refugee_pads:000084	177	1	FATHOM Flooding Data	535	555	named	named	geospatial	⟦FATHOM Flooding Data⟧ (Pluvial, Fluvial)	true	null
refugee_pads:000084	177	1	data from NASA Center for Climate Simulation	1,226	1,270	descriptive	named	other	Calculations completed by the authors, based on ⟦data from NASA Center for Climate Simulation⟧	true	null
refugee_pads:000084	177	1	NASA NEX-GDDP	1,272	1,285	named	named	database	based on data from NASA Center for Climate Simulation, ⟦NASA NEX-GDDP⟧ (2019)	true	null
refugee_pads:000084	178	1	related database	602	618	descriptive	descriptive	database	if a ⟦related database⟧ is developed and maintained	true	null
refugee_pads:000084	19	2	2018/19 household survey	359	383	descriptive	descriptive	survey	Estimates from the ⟦2018/19 household survey⟧ suggest that a Nigerien inhabitant	true	null
refugee_pads:000084	19	2	Survey on the Living Conditions of Households	880	925	named	named	survey	⟦Survey on the Living Conditions of Households⟧ [ Enquête Harmonisée sur les Conditions de Vie des Ménages ] (2018–19)	true	null
refugee_pads:000084	20	0	Demographic and Health Survey	1,054	1,083	named	named	survey	(⟦Demographic and Health Survey⟧ [DHS] 2012)	true	null
refugee_pads:000084	20	1	DHS 2012	40	48	named	named	survey	The latest ⟦DHS 2012⟧ was in 2012	true	null
refugee_pads:000084	20	1	Risk and Resilience Assessment	1,237	1,267	named	named	report	The World Bank’s ⟦Risk and Resilience Assessment⟧ (RRA) in the Sahel Region further highlights	true	null
refugee_pads:000084	20	2	DHS	1,040	1,043	named	named	survey	The latest ⟦DHS⟧ was in 2012	true	null
refugee_pads:000084	20	2	2017 DHS	1,075	1,083	named	named	survey	Fieldwork for the ⟦2017 DHS⟧ took place between October 2017 and February 2018	true	null
refugee_pads:000084	22	0	2018 country index	802	820	named	descriptive	indicator	according to the Notre Dame Global Adaptation Initiative’s ⟦2018 country index⟧	true	null
refugee_pads:000084	22	0	World Bank climate and disaster risk screening tool	1,204	1,255	named	named	other	The ⟦World Bank climate and disaster risk screening tool⟧ indicates that Niger has a high risk	false	null
refugee_pads:000084	22	1	Lifelines report	386	402	named	named	report	According to the World Bank’s ⟦Lifelines report⟧, the cost of disruption	true	null
refugee_pads:000084	23	0	Gender Inequality Index	412	435	named	named	indicator	the country’s ⟦Gender Inequality Index⟧ value of 0.642	true	null
refugee_pads:000084	23	1	survey data	336	347	vague	descriptive	survey	The Multi-Tier Framework (MTF) ⟦survey data⟧ show that 19.5 percent of Niger households	true	null
refugee_pads:000084	23	1	data from Nigerien Electricity Company	737	775	descriptive	named	other	According to ⟦data from Nigerien Electricity Company⟧ (Societe Nigerienne d'Electricité, NIGELEC)	true	null
refugee_pads:000084	23	2	data collected in 2018	612	634	vague	descriptive	survey	The survey results were published in June 2020 using ⟦data collected in 2018⟧	true	null
refugee_pads:000084	23	2	Sustainable Energy for All SDG7 tracker	1,344	1,383	named	named	system	According to the ⟦Sustainable Energy for All SDG7 tracker⟧ (2018)	true	null
refugee_pads:000084	23	2	national data	1,446	1,459	vague	vague	other	however, ⟦national data⟧ are used in the text	true	null
refugee_pads:000084	28	1	geographic information system	953	982	descriptive	descriptive	geospatial	By preparing a detailed and comprehensive ⟦geographic information system⟧ (GIS) based least-cost electrification plan	false	null
refugee_pads:000084	2	1	Demographic and Health Survey	270	299	named	named	survey	\|DHS\|⟦Demographic and Health Survey⟧\|	true	null
refugee_pads:000084	31	2	MTF	751	754	named	named	other	Niger Energy Access Diagnostic Report Based on the ⟦MTF⟧, ESMAP, June 2020	false	null
refugee_pads:000084	32	2	NIGELEC site-specific data	965	991	descriptive	descriptive	other	NIGELEC costs from ⟦NIGELEC site-specific data⟧	true	null
refugee_pads:000084	33	0	MTF study	1,381	1,390	named	named	other	The ⟦MTF study⟧ of 2020 has established that 94 percent of households	false	null
refugee_pads:000084	33	2	MTF	303	306	named	named	other	All numbers in this section are from Niger Energy Access Diagnostic Report Based on the ⟦MTF⟧, June 2020	false	null
refugee_pads:000084	42	0	operational data	1,486	1,502	vague	vague	other	as well as collect ⟦operational data⟧	true	null
refugee_pads:000084	46	0	NES	1,495	1,498	named	named	other	identified in the ⟦NES⟧ as development hubs	false	null
refugee_pads:000084	49	0	site data	891	900	vague	descriptive	geospatial	packaging and disseminating ⟦site data⟧	true	null
refugee_pads:000084	49	2	ESMAP survey	310	322	named	named	survey	Data from an ⟦ESMAP survey⟧ of 23 NIGELEC mini grids indicate	true	null
refugee_pads:000084	54	0	ESMAP-ECCH study	1,848	1,864	named	named	other	identified in the ⟦ESMAP-ECCH study⟧	false	null
refugee_pads:000084	54	1	ESMAP-ECCH study	141	157	named	named	other	the weakest links identified in the ⟦ESMAP-ECCH study⟧	false	null
refugee_pads:000084	54	1	2018 MTF	1,870	1,878	named	named	other	The ⟦2018 MTF⟧ ranks the fuel-stove technologies	false	null
refugee_pads:000084	55	1	consumption data	1,829	1,845	vague	vague	other	software (Meter Data Management [MDM]) to manage and analyze ⟦consumption data⟧	true	null
refugee_pads:000084	55	2	consumption data	148	164	vague	vague	other	manage and analyze ⟦consumption data⟧	true	null
refugee_pads:000084	56	0	network GIS database	1,185	1,205	descriptive	descriptive	database	interfaced with the existing ⟦network GIS database⟧	true	null
refugee_pads:000084	64	0	customer database	1,716	1,733	descriptive	descriptive	database	improved management of the ⟦customer database⟧	true	null
refugee_pads:000084	65	0	PNED	801	805	named	named	other	supported by the World Bank experts. Furthermore, the clean cooking activities are supported by in-depth analysis in the ⟦PNED⟧ and market assessment	false	null
refugee_pads:000084	74	0	Implementation Status and Results Reports	269	310	named	descriptive	report	according to the last ⟦Implementation Status and Results Reports⟧ (ISRs)	true	null
refugee_pads:000084	77	1	annual stakeholder surveys	2,115	2,141	descriptive	descriptive	survey	beneficiaries’ feedback will be sought through ⟦annual stakeholder surveys⟧	true	null
refugee_pads:000084	77	2	annual stakeholder surveys	101	127	descriptive	descriptive	survey	through ⟦annual stakeholder surveys⟧, and a database will be put in place	true	null
refugee_pads:000084	8	0	MPA Financing Data	1,315	1,333	named	named	other	⟦MPA Financing Data⟧[16] (US$, Millions) Financing	false	null
refugee_pads:000084	92	0	customers database	208	226	descriptive	descriptive	database	obtained<br>from NIGELEC's<br>⟦customers database⟧	true	null
refugee_pads:000084	92	0	ANPER	231	236	named	named	other	from NIGELEC's<br>⟦customers database⟧[17],<br>⟦ANPER⟧ and ⟦ANERSOL⟧	false	null
refugee_pads:000084	92	0	ANERSOL	241	248	named	named	other	⟦ANPER⟧ and ⟦ANERSOL⟧<br>(for mini-grid and<br>standalone systems)	false	null
refugee_pads:000084	92	1	Bank data	339	348	descriptive	descriptive	other	data/UNHCR<br>data/World<br>⟦Bank data⟧[20]	true	null
refugee_pads:000084	92	1	project-level data	412	430	descriptive	descriptive	other	⟦project-level data⟧[21]	true	null
refugee_pads:000084	93	0	Bank data	553	562	vague	descriptive	other	data/UNHCR<br>data/World<br>⟦Bank data⟧[22]	true	null
refugee_pads:000084	93	1	Project databases	206	223	descriptive	descriptive	database	contractors responsible<br>for connections and<br>⟦Project databases⟧	true	null
refugee_pads:000084	94	0	ct database	112	123	descriptive	descriptive	database	\|DEREC)/Proje<br>⟦ct database⟧\|managing the subsidies	true	null
refugee_pads:000084	94	0	project-level data	1,204	1,222	descriptive	descriptive	other	collected data about<br>refugees and project-<br>level data.\|DEREC/ANERSOL.	true	null
refugee_pads:000084	94	1	Bank data	14	23	descriptive	descriptive	other	data/World<br>⟦Bank data⟧[26].\|Estimated based on<br>collected data about	true	null
refugee_pads:000084	94	1	project-level data	117	135	descriptive	descriptive	other	Estimated based on<br>collected data about<br>refugees and host<br>communities zones and<br>⟦project-level data⟧[27].	true	null
refugee_pads:000084	9	1	PROJECT FINANCING DATA	282	304	named	named	other	⟦PROJECT FINANCING DATA⟧[28] (US$, Millions)	false	null
refugee_pads:000085	10	2	Data4Pakistan‐District Development Portal	777	818	named	named	database	World Bank. 2019. ⟦Data4Pakistan‐District Development Portal⟧ (accessed on August 28, 2019).	true	null
refugee_pads:000085	11	1	Census 2017	125	136	named	named	census	Population data from ⟦Census 2017⟧[1]	true	null
refugee_pads:000085	11	1	Registered refugee data from UNHCR	138	172	descriptive	named	administrative	⟦Registered refugee data from UNHCR⟧[2] as of December 31, 2019	true	null
refugee_pads:000085	12	1	PDHS	854	858	named	named	survey	a. ⟦PDHS⟧[3] 2017–18	true	null
refugee_pads:000085	12	1	Pakistan Education Statistics	871	900	named	named	report	b. ⟦Pakistan Education Statistics⟧[4] 2016–17	true	null
refugee_pads:000085	12	1	Annual State of Education Report	913	945	named	named	report	c. ⟦Annual State of Education Report⟧[5] (ASER)‐ National 2018	true	null
refugee_pads:000085	12	2	PDHS	30	34	named	named	survey	a. ⟦PDHS⟧[6] 2017–18	true	null
refugee_pads:000085	12	2	Pakistan Education Statistics	47	76	named	named	report	b. ⟦Pakistan Education Statistics⟧[7] 2016–17	true	null
refugee_pads:000085	12	2	Annual State of Education Report	89	121	named	named	report	c. ⟦Annual State of Education Report⟧[8] (ASER)‐ National 2018	true	null
refugee_pads:000085	14	0	Data on service utilization at HFs	1,569	1,603	descriptive	descriptive	other	⟦Data on service utilization at HFs⟧[9] are mostly collected manually using paper forms	true	null
refugee_pads:000085	14	0	digital registry of health care providers	1,783	1,824	descriptive	descriptive	administrative	The GoB also does not have a ⟦digital registry of health care providers⟧[10] with basic data to manage human resources	true	null
refugee_pads:000085	14	1	digital registry of health care providers	1	42	descriptive	descriptive	administrative	⟦digital registry of health care providers⟧[11] with basic data to manage human resources	true	null
refugee_pads:000085	14	2	PSLSM Survey	789	801	named	named	survey	more than 60 percent seeks care at private HFs (⟦PSLSM Survey⟧[12] 2014–15.	true	null
refugee_pads:000085	19	0	routine health data	1,172	1,191	vague	vague	administrative	improving availability, quality, and use of ⟦routine health data⟧[13]	true	null
refugee_pads:000085	19	0	digital human resources database	1,243	1,275	descriptive	descriptive	database	developing and implementing a ⟦digital human resources database⟧[14]	true	null
refugee_pads:000085	20	2	cluster data	420	432	vague	descriptive	other	EMIS cells gathering ⟦cluster data⟧[15] and submitting to the District Education Authority (DEA) and SED	true	null
refugee_pads:000085	21	0	real‐time monitoring system of HRH	1,908	1,942	descriptive	descriptive	system	development and implementation of a ⟦real‐time monitoring system of HRH⟧[16] will empower government officials	true	null
refugee_pads:000085	21	1	student learning assessments	889	917	descriptive	descriptive	other	results from ⟦student learning assessments⟧[17] will be used to improve the quality of education services	true	null
refugee_pads:000085	22	0	Functional HRH database	840	863	named	descriptive	database	⟦Functional HRH database⟧[18]	true	null
refugee_pads:000085	25	0	RMNCHN indicators	1,686	1,703	named	descriptive	indicator	The PDO‐level health indicators are taken from the ⟦RMNCHN indicators⟧[19] in the ⟦DHIS⟧[20]	true	null
refugee_pads:000085	25	0	DHIS	1,711	1,715	named	named	system	The PDO‐level health indicators are taken from the ⟦RMNCHN indicators⟧[19] in the ⟦DHIS⟧[20]	true	null
refugee_pads:000085	25	1	RMNCHN indicators in the DHIS	177	206	named	descriptive	indicator	The PDO‐level health indicators are taken from the ⟦RMNCHN indicators in the DHIS⟧[21]	true	null
refugee_pads:000085	25	1	EMIS	333	337	named	named	system	The education indicators are taken from the ⟦EMIS⟧[22]	true	null
refugee_pads:000085	25	1	beneficiary data by nationality	477	508	descriptive	descriptive	administrative	that ⟦beneficiary data by nationality⟧[23] will not be routinely collected or publicly released	true	null
refugee_pads:000085	25	1	HRH database	1,814	1,826	named	descriptive	database	establish or strengthen an ⟦HRH database⟧[24], a health institutional database that routinely tracks facility	true	null
refugee_pads:000085	27	1	ASER report	300	311	named	named	report	The 2018 ⟦ASER report⟧[25] stated that children in Pakistan are learning too little and too slow	true	null
refugee_pads:000085	27	2	DPC3	60	64	named	named	other	Review of Essential Health Services in Pakistan Based on ⟦DPC3⟧[26].	false	null
refugee_pads:000085	27	2	WHO Data	257	265	named	named	other	Health Financing Systems Assessment Pakistan using ⟦WHO Data⟧[27].	false	null
refugee_pads:000085	28	1	Pakistan HIES	1,700	1,713	named	named	survey	Own calculations using ⟦Pakistan HIES⟧[28] 2015–16.	true	null
refugee_pads:000085	28	2	Pakistan HIES	176	189	named	named	survey	Own calculations using ⟦Pakistan HIES⟧[29] 2015–16.	true	null
refugee_pads:000085	29	0	Government expenditure data	485	512	descriptive	descriptive	administrative	Government expenditure data from GoB audited financial statements	true	null
refugee_pads:000085	29	0	census 2017	614	625	named	named	census	population numbers from census 2017 and annualized population growth rate	true	null

refugee_pads:000084

160

0

MTF

318

321

named

survey

The ⟦MTF⟧[21] study of 2018 has established that 94 percent of households

true

null

refugee_pads:000084

160

1

ECCH assessment

739

754

descriptive

named

other

The recent ⟦ECCH assessment⟧[22] grouped Niger households in three broad overlapping sets of cooks

true

null

refugee_pads:000084

162

1

2018 MTF

2,038

2,046

named

survey

The ⟦2018 MTF⟧[23] ranks the fuel-

true

null

refugee_pads:000084

164

1

ESMAP-ECCH study

912

928

named

other

identified in the ⟦ESMAP-ECCH study⟧[24]

false

null

refugee_pads:000084

170

0

sex-disaggregated data

181

203

descriptive

vague

other

limited ⟦sex-disaggregated data⟧[25] are available in Niger

true

null

refugee_pads:000084

170

0

global data

232

243

vague

other

but ⟦global data⟧[26] that are available indicate that women are underrepresented

true

null

refugee_pads:000084

172

0

disaggregated data

2,053

2,071

vague

other

the collection of ⟦disaggregated data⟧[27] and gender-responsive M&E

true

null

refugee_pads:000084

172

1

disaggregated data

203

221

vague

other

the collection of ⟦disaggregated data⟧[28] and gender-responsive M&E

true

null

refugee_pads:000084

174

0

average historical occurrence of wildfire

556

597

descriptive

other

The ⟦average historical occurrence of wildfire⟧[29] in the project region is shown in figure 7.1.

false

null

refugee_pads:000084

174

1

Global Fire Emissions Database

918

948

named

other

“Analysis of Daily, Monthly, and Annual Burned Area Using the Fourth ‐ Generation ⟦Global Fire Emissions Database⟧[30] (GFED4).”

false

null

refugee_pads:000084

175

0

susceptibility data

444

463

vague

descriptive

geospatial

this ⟦susceptibility data⟧ can inform regions where more detailed studies

true

null

refugee_pads:000084

175

0

Probabilistic data

1,552

1,570

vague

estimates

⟦Probabilistic data⟧ on drought risk are not available at the writing of this document

true

null

refugee_pads:000084

175

1

Probabilistic data on drought risk

26

60

descriptive

estimates

⟦Probabilistic data on drought risk⟧ are not available at the writing of this document

true

null

refugee_pads:000084

175

1

Data from Broeckx et al. 2018

483

512

named

geospatial

⟦Data from Broeckx et al. 2018⟧

true

null

refugee_pads:000084

177

1

FATHOM Flooding Data

535

555

named

geospatial

⟦FATHOM Flooding Data⟧ (Pluvial, Fluvial)

true

null

refugee_pads:000084

177

1

data from NASA Center for Climate Simulation

1,226

1,270

descriptive

named

other

Calculations completed by the authors, based on ⟦data from NASA Center for Climate Simulation⟧

true

null

refugee_pads:000084

177

1

NASA NEX-GDDP

1,272

1,285

named

database

based on data from NASA Center for Climate Simulation, ⟦NASA NEX-GDDP⟧ (2019)

true

null

refugee_pads:000084

178

1

related database

602

618

descriptive

database

if a ⟦related database⟧ is developed and maintained

true

null

refugee_pads:000084

19

2

2018/19 household survey

359

383

descriptive

survey

Estimates from the ⟦2018/19 household survey⟧ suggest that a Nigerien inhabitant

true

null

refugee_pads:000084

19

2

Survey on the Living Conditions of Households

880

925

named

survey

⟦Survey on the Living Conditions of Households⟧ [ Enquête Harmonisée sur les Conditions de Vie des Ménages ] (2018–19)

true

null

refugee_pads:000084

20

0

Demographic and Health Survey

1,054

1,083

named

survey

(⟦Demographic and Health Survey⟧ [DHS] 2012)

true

null

refugee_pads:000084

20

1

DHS 2012

40

48

named

survey

The latest ⟦DHS 2012⟧ was in 2012

true

null

refugee_pads:000084

20

1

Risk and Resilience Assessment

1,237

1,267

named

report

The World Bank’s ⟦Risk and Resilience Assessment⟧ (RRA) in the Sahel Region further highlights

true

null

refugee_pads:000084

20

2

DHS

1,040

1,043

named

survey

The latest ⟦DHS⟧ was in 2012

true

null

refugee_pads:000084

20

2

2017 DHS

1,075

1,083

named

survey

Fieldwork for the ⟦2017 DHS⟧ took place between October 2017 and February 2018

true

null

refugee_pads:000084

22

0

2018 country index

802

820

named

descriptive

indicator

according to the Notre Dame Global Adaptation Initiative’s ⟦2018 country index⟧

true

null

refugee_pads:000084

22

0

World Bank climate and disaster risk screening tool

1,204

1,255

named

other

The ⟦World Bank climate and disaster risk screening tool⟧ indicates that Niger has a high risk

false

null

refugee_pads:000084

22

1

Lifelines report

386

402

named

report

According to the World Bank’s ⟦Lifelines report⟧, the cost of disruption

true

null

refugee_pads:000084

23

0

Gender Inequality Index

412

435

named

indicator

the country’s ⟦Gender Inequality Index⟧ value of 0.642

true

null

refugee_pads:000084

23

1

survey data

336

347

vague

descriptive

survey

The Multi-Tier Framework (MTF) ⟦survey data⟧ show that 19.5 percent of Niger households

true

null

refugee_pads:000084

23

1

data from Nigerien Electricity Company

737

775

descriptive

named

other

According to ⟦data from Nigerien Electricity Company⟧ (Societe Nigerienne d'Electricité, NIGELEC)

true

null

refugee_pads:000084

23

2

data collected in 2018

612

634

vague

descriptive

survey

The survey results were published in June 2020 using ⟦data collected in 2018⟧

true

null

refugee_pads:000084

23

2

Sustainable Energy for All SDG7 tracker

1,344

1,383

named

system

According to the ⟦Sustainable Energy for All SDG7 tracker⟧ (2018)

true

null

refugee_pads:000084

23

2

national data

1,446

1,459

vague

other

however, ⟦national data⟧ are used in the text

true

null

refugee_pads:000084

28

1

geographic information system

953

982

descriptive

geospatial

By preparing a detailed and comprehensive ⟦geographic information system⟧ (GIS) based least-cost electrification plan

false

null

refugee_pads:000084

2

1

Demographic and Health Survey

270

299

named

survey

|DHS|⟦Demographic and Health Survey⟧|

true

null

refugee_pads:000084

31

2

MTF

751

754

named

other

Niger Energy Access Diagnostic Report Based on the ⟦MTF⟧, ESMAP, June 2020

false

null

refugee_pads:000084

32

2

NIGELEC site-specific data

965

991

descriptive

other

NIGELEC costs from ⟦NIGELEC site-specific data⟧

true

null

refugee_pads:000084

33

0

MTF study

1,381

1,390

named

other

The ⟦MTF study⟧ of 2020 has established that 94 percent of households

false

null

refugee_pads:000084

33

2

MTF

303

306

named

other

All numbers in this section are from Niger Energy Access Diagnostic Report Based on the ⟦MTF⟧, June 2020

false

null

refugee_pads:000084

42

0

operational data

1,486

1,502

vague

other

as well as collect ⟦operational data⟧

true

null

refugee_pads:000084

46

0

NES

1,495

1,498

named

other

identified in the ⟦NES⟧ as development hubs

false

null

refugee_pads:000084

49

0

site data

891

900

vague

descriptive

geospatial

packaging and disseminating ⟦site data⟧

true

null

refugee_pads:000084

49

2

ESMAP survey

310

322

named

survey

Data from an ⟦ESMAP survey⟧ of 23 NIGELEC mini grids indicate

true

null

refugee_pads:000084

54

0

ESMAP-ECCH study

1,848

1,864

named

other

identified in the ⟦ESMAP-ECCH study⟧

false

null

refugee_pads:000084

54

1

ESMAP-ECCH study

141

157

named

other

the weakest links identified in the ⟦ESMAP-ECCH study⟧

false

null

refugee_pads:000084

54

1

2018 MTF

1,870

1,878

named

other

The ⟦2018 MTF⟧ ranks the fuel-stove technologies

false

null

refugee_pads:000084

55

1

consumption data

1,829

1,845

vague

other

software (Meter Data Management [MDM]) to manage and analyze ⟦consumption data⟧

true

null

refugee_pads:000084

55

2

consumption data

148

164

vague

other

manage and analyze ⟦consumption data⟧

true

null

refugee_pads:000084

56

0

network GIS database

1,185

1,205

descriptive

database

interfaced with the existing ⟦network GIS database⟧

true

null

refugee_pads:000084

64

0

customer database

1,716

1,733

descriptive

database

improved management of the ⟦customer database⟧

true

null

refugee_pads:000084

65

0

PNED

801

805

named

other

supported by the World Bank experts. Furthermore, the clean cooking activities are supported by in-depth analysis in the ⟦PNED⟧ and market assessment

false

null

refugee_pads:000084

74

0

Implementation Status and Results Reports

269

310

named

descriptive

report

according to the last ⟦Implementation Status and Results Reports⟧ (ISRs)

true

null

refugee_pads:000084

77

1

annual stakeholder surveys

2,115

2,141

descriptive

survey

beneficiaries’ feedback will be sought through ⟦annual stakeholder surveys⟧

true

null

refugee_pads:000084

77

2

annual stakeholder surveys

101

127

descriptive

survey

through ⟦annual stakeholder surveys⟧, and a database will be put in place

true

null

refugee_pads:000084

8

0

MPA Financing Data

1,315

1,333

named

other

**⟦MPA Financing Data⟧[16] (US$, Millions) Financing**

false

null

refugee_pads:000084

92

0

customers database

208

226

descriptive

database

obtained from NIGELEC's ⟦customers database⟧

true

null

refugee_pads:000084

92

0

ANPER

231

236

named

other

from NIGELEC's ⟦customers database⟧[17], ⟦ANPER⟧ and ⟦ANERSOL⟧

false

null

refugee_pads:000084

92

0

ANERSOL

241

248

named

other

⟦ANPER⟧ and ⟦ANERSOL⟧ (for mini-grid and standalone systems)

false

null

refugee_pads:000084

92

1

Bank data

339

348

descriptive

other

data/UNHCR data/World ⟦Bank data⟧[20]

true

null

refugee_pads:000084

92

1

project-level data

412

430

descriptive

other

⟦project-level data⟧[21]

true

null

refugee_pads:000084

93

0

Bank data

553

562

vague

descriptive

other

data/UNHCR data/World ⟦Bank data⟧[22]

true

null

refugee_pads:000084

93

1

Project databases

206

223

descriptive

database

contractors responsible for connections and ⟦Project databases⟧

true

null

refugee_pads:000084

94

0

ct database

112

123

descriptive

database

|DEREC)/Proje ⟦ct database⟧|managing the subsidies

true

null

refugee_pads:000084

94

0

project-level data

1,204

1,222

descriptive

other

collected data about refugees and project- level data.|DEREC/ANERSOL.

true

null

refugee_pads:000084

94

1

Bank data

14

23

descriptive

other

data/World ⟦Bank data⟧[26].|Estimated based on collected data about

true

null

refugee_pads:000084

94

1

project-level data

117

135

descriptive

other

Estimated based on collected data about refugees and host communities zones and ⟦project-level data⟧[27].

true

null

refugee_pads:000084

9

1

PROJECT FINANCING DATA

282

304

named

other

**⟦PROJECT FINANCING DATA⟧[28] (US$, Millions)**

false

null

refugee_pads:000085

10

2

Data4Pakistan‐District Development Portal

777

818

named

database

World Bank. 2019. ⟦Data4Pakistan‐District Development Portal⟧ (accessed on August 28, 2019).

true

null

refugee_pads:000085

11

1

Census 2017

125

136

named

census

Population data from ⟦Census 2017⟧[1]

true

null

refugee_pads:000085

11

1

Registered refugee data from UNHCR

138

172

descriptive

named

administrative

⟦Registered refugee data from UNHCR⟧[2] as of December 31, 2019

true

null

refugee_pads:000085

12

1

PDHS

854

858

named

survey

a. ⟦PDHS⟧[3] 2017–18

true

null

refugee_pads:000085

12

1

Pakistan Education Statistics

871

900

named

report

b. ⟦Pakistan Education Statistics⟧[4] 2016–17

true

null

refugee_pads:000085

12

1

Annual State of Education Report

913

945

named

report

c. ⟦Annual State of Education Report⟧[5] (ASER)‐ National 2018

true

null

refugee_pads:000085

12

2

PDHS

30

34

named

survey

a. ⟦PDHS⟧[6] 2017–18

true

null

refugee_pads:000085

12

2

Pakistan Education Statistics

47

76

named

report

b. ⟦Pakistan Education Statistics⟧[7] 2016–17

true

null

refugee_pads:000085

12

2

Annual State of Education Report

89

121

named

report

c. ⟦Annual State of Education Report⟧[8] (ASER)‐ National 2018

true

null

refugee_pads:000085

14

0

Data on service utilization at HFs

1,569

1,603

descriptive

other

⟦Data on service utilization at HFs⟧[9] are mostly collected manually using paper forms

true

null

refugee_pads:000085

14

0

digital registry of health care providers

1,783

1,824

descriptive

administrative

The GoB also does not have a ⟦digital registry of health care providers⟧[10] with basic data to manage human resources

true

null

refugee_pads:000085

14

1

digital registry of health care providers

1

42

descriptive

administrative

⟦digital registry of health care providers⟧[11] with basic data to manage human resources

true

null

refugee_pads:000085

14

2

PSLSM Survey

789

801

named

survey

more than 60 percent seeks care at private HFs (⟦PSLSM Survey⟧[12] 2014–15.

true

null

refugee_pads:000085

19

0

routine health data

1,172

1,191

vague

administrative

improving availability, quality, and use of ⟦routine health data⟧[13]

true

null

refugee_pads:000085

19

0

digital human resources database

1,243

1,275

descriptive

database

developing and implementing a ⟦digital human resources database⟧[14]

true

null

refugee_pads:000085

20

2

cluster data

420

432

vague

descriptive

other

EMIS cells gathering ⟦cluster data⟧[15] and submitting to the District Education Authority (DEA) and SED

true

null

refugee_pads:000085

21

0

real‐time monitoring system of HRH

1,908

1,942

descriptive

system

development and implementation of a ⟦real‐time monitoring system of HRH⟧[16] will empower government officials

true

null

refugee_pads:000085

21

1

student learning assessments

889

917

descriptive

other

results from ⟦student learning assessments⟧[17] will be used to improve the quality of education services

true

null

refugee_pads:000085

22

0

Functional HRH database

840

863

named

descriptive

database

⟦Functional HRH database⟧[18]

true

null

refugee_pads:000085

25

0

RMNCHN indicators

1,686

1,703

named

descriptive

indicator

The PDO‐level health indicators are taken from the ⟦RMNCHN indicators⟧[19] in the ⟦DHIS⟧[20]

true

null

refugee_pads:000085

25

0

DHIS

1,711

1,715

named

system

The PDO‐level health indicators are taken from the ⟦RMNCHN indicators⟧[19] in the ⟦DHIS⟧[20]

true

null

refugee_pads:000085

25

1

RMNCHN indicators in the DHIS

177

206

named

descriptive

indicator

The PDO‐level health indicators are taken from the ⟦RMNCHN indicators in the DHIS⟧[21]

true

null

refugee_pads:000085

25

1

EMIS

333

337

named

system

The education indicators are taken from the ⟦EMIS⟧[22]

true

null

refugee_pads:000085

25

1

beneficiary data by nationality

477

508

descriptive

administrative

that ⟦beneficiary data by nationality⟧[23] will not be routinely collected or publicly released

true

null

refugee_pads:000085

25

1

HRH database

1,814

1,826

named

descriptive

database

establish or strengthen an ⟦HRH database⟧[24], a health institutional database that routinely tracks facility

true

null

refugee_pads:000085

27

1

ASER report

300

311

named

report

The 2018 ⟦ASER report⟧[25] stated that children in Pakistan are learning too little and too slow

true

null

refugee_pads:000085

27

2

DPC3

60

64

named

other

Review of Essential Health Services in Pakistan Based on ⟦DPC3⟧[26].

false

null

refugee_pads:000085

27

2

WHO Data

257

265

named

other

Health Financing Systems Assessment Pakistan using ⟦WHO Data⟧[27].

false

null

refugee_pads:000085

28

1

Pakistan HIES

1,700

1,713

named

survey

Own calculations using ⟦Pakistan HIES⟧[28] 2015–16.

true

null

refugee_pads:000085

28

2

Pakistan HIES

176

189

named

survey

Own calculations using ⟦Pakistan HIES⟧[29] 2015–16.

true

null

refugee_pads:000085

29

0

Government expenditure data

485

512

descriptive

administrative

Government expenditure data from GoB audited financial statements

true

null

refugee_pads:000085

29

0

census 2017

614

625

named

census

population numbers from census 2017 and annualized population growth rate

true

null