State Health Investment Project: Impact Evaluation Endline Survey, 2017
Nigeria, 2017
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Reference ID
NGA_2017_HRBFIE-EL_v01_M
Producer(s)
Eeshani Kandpal (World Bank)
Created on
Dec 05, 2022
Last modified
Aug 28, 2024
Page views
101721
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- Data files
- cardio_drugs_noid.dta
- Catchment_Area_noid.dta
- decr_services_noid.dta
- diagnostic_kits_noid.dta
- FP_drugs_noid.dta
- general_drugs_noid.dta
-
Health Facility
(HF1)_noid.dta - HF1_Sect08_noid.dta
- HF1_sect10A_noid.dta
- HF1_Sect10B_noid.dta
- incr_services_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
- malaria_drugs_noid.dta
- obstetric_care_noid.dta
- Q1611_positions_noid.dta
- services_noid.dta
- TB_drugs_noid.dta
- vaccines_noid.dta
- anc_patients_noid.dta
- HF3_HCP_Info_noid.dta
- HF4_HCP_Info_noid.dta
- HF4_patients_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
Patient DIRECT
OBSERVATION
(HF3_HF4)_noid.dta - HF5_ASSETS_noid.dta
- HF5_LIVESTOCK_noid.dta
- HF5_patients_noid.dta
- HF6_ASSETS_noid.dta
- HF6_LIVESTOCK_noid.dta
- HF6_patients_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
Patient EXIT
INTERVIEW
(HF5_HF6)_noid.dta -
Health Care
Provider
Interviews
(HF7)_noid.dta - HF7_Q202_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
- staff_roster_noid.dta
- Durable_Goods_noid.dta
- hhroster_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
NSHIP IE
Midline
Household Women
Questionnaire_noid.dta - Q16_13_noid.dta
- S5C_Assets_noid.dta
- S9_Vaccines_noid.dta
- Sec_05B_noid.dta
- Sec_06A_noid.dta
- Sec_06B_noid.dta
- Sec_06C_noid.dta
- Sec_07_noid.dta
1.23 What is [NAME]'s ethnicity? (Q1_23)
Data file: hhroster_noid.dta
Overview
Valid:
58168
Invalid:
334
Minimum:
-999999999
Maximum:
96
Type:
Discrete
Decimal:
0
Start:
627
End:
636
Width:
10
Range:
-999999999 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | 2 |
0%
|
|
| 1 | AFO | 519 |
0.9%
|
| 2 | ALAGO | 1225 |
2.1%
|
| 3 | BACHAMA | 545 |
0.9%
|
| 4 | BURA | 314 |
0.5%
|
| 5 | CHAMBA | 1179 |
2%
|
| 6 | EGGON | 2888 |
5%
|
| 7 | FALI | 302 |
0.5%
|
| 8 | FULANI | 3681 |
6.3%
|
| 9 | GBAGYI | 588 |
1%
|
| 10 | GUDE | 419 |
0.7%
|
| 11 | GWANDARA | 698 |
1.2%
|
| 12 | HAUSA | 3580 |
6.2%
|
| 13 | HIGGI | 624 |
1.1%
|
| 14 | IDOMA | 2654 |
4.6%
|
| 15 | IGBO | 1625 |
2.8%
|
| 16 | IGEDE | 477 |
0.8%
|
| 17 | IJAW | 439 |
0.8%
|
| 18 | JANYI | 345 |
0.6%
|
| 19 | JIBU | 255 |
0.4%
|
| 20 | JUKUN | 583 |
1%
|
| 21 | KAKA | 145 |
0.2%
|
| 22 | KANURI | 504 |
0.9%
|
| 23 | KILBA | 487 |
0.8%
|
| 24 | KUTEB | 169 |
0.3%
|
| 25 | LUNGUDA | 421 |
0.7%
|
| 26 | MADA | 1305 |
2.2%
|
| 27 | MARGI | 385 |
0.7%
|
| 28 | MBULA | 372 |
0.6%
|
| 29 | MIGILI | 344 |
0.6%
|
| 30 | MUMMUYE | 1206 |
2.1%
|
| 31 | MUMUYE | 936 |
1.6%
|
| 32 | RINDRE | 633 |
1.1%
|
| 33 | TIV | 7099 |
12.2%
|
| 34 | WURKUN | 149 |
0.3%
|
| 35 | YORUBA | 13428 |
23.1%
|
| 36 | YUNGUR | 348 |
0.6%
|
| 96 | OTHER | 7295 |
12.5%
|
| Sysmiss | 334 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.