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
49363
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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
5.21 : How much money was earned through this additional job or extra work over (Q5_21)
Data file: NSHIP IE Midline Household Women Questionnaire_noid.dta
Overview
Valid:
37
Invalid:
12173
Minimum:
0
Maximum:
550000
Type:
Discrete
Decimal:
0
Start:
1720
End:
1725
Width:
6
Range:
0 - 550000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
2.7%
|
|
| 1000 | 2 |
5.4%
|
|
| 1500 | 1 |
2.7%
|
|
| 4000 | 3 |
8.1%
|
|
| 5000 | 7 |
18.9%
|
|
| 6000 | 1 |
2.7%
|
|
| 7700 | 1 |
2.7%
|
|
| 8000 | 3 |
8.1%
|
|
| 10000 | 3 |
8.1%
|
|
| 12000 | 1 |
2.7%
|
|
| 15000 | 2 |
5.4%
|
|
| 16000 | 1 |
2.7%
|
|
| 18000 | 2 |
5.4%
|
|
| 20000 | 3 |
8.1%
|
|
| 28000 | 1 |
2.7%
|
|
| 70000 | 1 |
2.7%
|
|
| 71000 | 1 |
2.7%
|
|
| 100000 | 2 |
5.4%
|
|
| 550000 | 1 |
2.7%
|
|
| Sysmiss | 12173 |
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.