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
103069
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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
INTERVIEWER: PLEASE RECORD THE PAYMENT AMOUNT IN NAIRA FOR THE HEALTH CARE PROVI (Q2_payment)
Data file: staff_roster_noid.dta
Overview
Valid:
1607
Invalid:
1615
Minimum:
-999999999
Maximum:
2500
Type:
Discrete
Decimal:
0
Start:
7438
End:
7447
Width:
10
Range:
-999999999 - 2500
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | 1 |
0.1%
|
|
| 1000 | 2 |
0.1%
|
|
| 1050 | 3 |
0.2%
|
|
| 1100 | 6 |
0.4%
|
|
| 1150 | 2 |
0.1%
|
|
| 1200 | 4 |
0.2%
|
|
| 1250 | 9 |
0.6%
|
|
| 1300 | 19 |
1.2%
|
|
| 1350 | 37 |
2.3%
|
|
| 1400 | 18 |
1.1%
|
|
| 1450 | 12 |
0.7%
|
|
| 1500 | 40 |
2.5%
|
|
| 1550 | 77 |
4.8%
|
|
| 1600 | 42 |
2.6%
|
|
| 1650 | 40 |
2.5%
|
|
| 1700 | 69 |
4.3%
|
|
| 1750 | 605 |
37.6%
|
|
| 1800 | 60 |
3.7%
|
|
| 1850 | 42 |
2.6%
|
|
| 1900 | 70 |
4.4%
|
|
| 1950 | 48 |
3%
|
|
| 2000 | 66 |
4.1%
|
|
| 2050 | 68 |
4.2%
|
|
| 2100 | 45 |
2.8%
|
|
| 2150 | 42 |
2.6%
|
|
| 2200 | 63 |
3.9%
|
|
| 2250 | 19 |
1.2%
|
|
| 2300 | 13 |
0.8%
|
|
| 2350 | 15 |
0.9%
|
|
| 2400 | 25 |
1.6%
|
|
| 2450 | 13 |
0.8%
|
|
| 2500 | 32 |
2%
|
|
| Sysmiss | 1615 |
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.