Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2012-2016, Baseline, First Follow-up and Second Follow-up Surveys
Rwanda, 2012 - 2016
Get Microdata
Reference ID
RWA_2012-2016_LWHIE-BL-F2_v01_M
Producer(s)
Florence Kondylis, Maria Jones, Saahil Karpe
Metadata
Created on
Dec 13, 2018
Last modified
Dec 13, 2018
Page views
222363
Downloads
7364
- Data files
- lwh_baseline1b
- lwh_baseline1c
- lwh_followup1
- lwh_followup2
EXP_14: Other health expenditure (eg. Medicines) (exp_14)
Data file: lwh_followup2
Overview
Valid:
3065
Invalid:
13
Type:
Discrete
Decimal:
2
Start:
3555
End:
3567
Width:
13
Range:
0 - 2147483647
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2113 |
68.9%
|
|
| 99 | Other | 0 |
0%
|
| 100 | 2 |
0.1%
|
|
| 150 | 1 |
0%
|
|
| 200 | 79 |
2.6%
|
|
| 250 | 16 |
0.5%
|
|
| 260 | 1 |
0%
|
|
| 300 | 59 |
1.9%
|
|
| 350 | 6 |
0.2%
|
|
| 400 | 39 |
1.3%
|
|
| 450 | 3 |
0.1%
|
|
| 500 | 33 |
1.1%
|
|
| 590 | 1 |
0%
|
|
| 600 | 72 |
2.3%
|
|
| 700 | 8 |
0.3%
|
|
| 750 | 1 |
0%
|
|
| 800 | 27 |
0.9%
|
|
| 900 | 9 |
0.3%
|
|
| 950 | 1 |
0%
|
|
| 1000 | 77 |
2.5%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 16 |
0.5%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 15 |
0.5%
|
|
| 1600 | 5 |
0.2%
|
|
| 1700 | 1 |
0%
|
|
| 1800 | 7 |
0.2%
|
|
| 2000 | 82 |
2.7%
|
|
| 2100 | 1 |
0%
|
|
| 2200 | 3 |
0.1%
|
|
| 2300 | 3 |
0.1%
|
|
| 2400 | 3 |
0.1%
|
|
| 2500 | 6 |
0.2%
|
|
| 2600 | 2 |
0.1%
|
|
| 2700 | 1 |
0%
|
|
| 2800 | 2 |
0.1%
|
|
| 3000 | 50 |
1.6%
|
|
| 3150 | 1 |
0%
|
|
| 3400 | 1 |
0%
|
|
| 3500 | 2 |
0.1%
|
|
| 3700 | 1 |
0%
|
|
| 4000 | 15 |
0.5%
|
|
| 4200 | 1 |
0%
|
|
| 4300 | 1 |
0%
|
|
| 4376 | 1 |
0%
|
|
| 4500 | 2 |
0.1%
|
|
| 4600 | 1 |
0%
|
|
| 4800 | 2 |
0.1%
|
|
| 4900 | 1 |
0%
|
|
| 5000 | 40 |
1.3%
|
|
| 5250 | 1 |
0%
|
|
| 5600 | 1 |
0%
|
|
| 5700 | 1 |
0%
|
|
| 6000 | 25 |
0.8%
|
|
| 6200 | 2 |
0.1%
|
|
| 6500 | 2 |
0.1%
|
|
| 7000 | 11 |
0.4%
|
|
| 7100 | 1 |
0%
|
|
| 7300 | 1 |
0%
|
|
| 8000 | 20 |
0.7%
|
|
| 8150 | 1 |
0%
|
|
| 8500 | 2 |
0.1%
|
|
| 8800 | 1 |
0%
|
|
| 8900 | 1 |
0%
|
|
| 9000 | 6 |
0.2%
|
|
| 9500 | 1 |
0%
|
|
| 9800 | 1 |
0%
|
|
| 10000 | 33 |
1.1%
|
|
| 10500 | 1 |
0%
|
|
| 11000 | 1 |
0%
|
|
| 11520 | 1 |
0%
|
|
| 12000 | 10 |
0.3%
|
|
| 12500 | 1 |
0%
|
|
| 12800 | 1 |
0%
|
|
| 13000 | 4 |
0.1%
|
|
| 13500 | 1 |
0%
|
|
| 14000 | 2 |
0.1%
|
|
| 14600 | 1 |
0%
|
|
| 15000 | 10 |
0.3%
|
|
| 16000 | 1 |
0%
|
|
| 17000 | 1 |
0%
|
|
| 18000 | 3 |
0.1%
|
|
| 19080 | 1 |
0%
|
|
| 20000 | 14 |
0.5%
|
|
| 20600 | 1 |
0%
|
|
| 21000 | 3 |
0.1%
|
|
| 25000 | 4 |
0.1%
|
|
| 27000 | 1 |
0%
|
|
| 27119 | 1 |
0%
|
|
| 30000 | 13 |
0.4%
|
|
| 32000 | 1 |
0%
|
|
| 35000 | 1 |
0%
|
|
| 38000 | 1 |
0%
|
|
| 40000 | 9 |
0.3%
|
|
| 45000 | 4 |
0.1%
|
|
| 50000 | 10 |
0.3%
|
|
| 51000 | 1 |
0%
|
|
| 55000 | 2 |
0.1%
|
|
| 57000 | 1 |
0%
|
|
| 60000 | 3 |
0.1%
|
|
| 65000 | 1 |
0%
|
|
| 70000 | 3 |
0.1%
|
|
| 80000 | 2 |
0.1%
|
|
| 90000 | 1 |
0%
|
|
| 100000 | 6 |
0.2%
|
|
| 120000 | 1 |
0%
|
|
| 126000 | 1 |
0%
|
|
| 140000 | 1 |
0%
|
|
| 150000 | 4 |
0.1%
|
|
| 157000 | 1 |
0%
|
|
| 188760 | 1 |
0%
|
|
| 200000 | 3 |
0.1%
|
|
| 250000 | 1 |
0%
|
|
| 330000 | 1 |
0%
|
|
| 500000 | 1 |
0%
|
|
| 600000 | 1 |
0%
|
|
| 2147483622 | Don't know | 0 |
0%
|
| 2147483623 | N/A | 0 |
0%
|
| 2147483625 | Refuse to answer | 0 |
0%
|
| 2147483645 | Missing | 0 |
0%
|
| 2147483647 | Has data while shouldn't | 0 |
0%
|
| 1000001 | Outrange | 13 |
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.
Others
Notes
"EXP_14: Other health expenditure (eg. Medicines)"
"Other health expenditure (eg. Medicines)"
"Other health expenditure (eg. Medicines)"