Impact Evaluation of the Sustainable Irrigation Project 2018
Endline Household Survey
Mozambique, 2018
Get Microdata
Reference ID
MOZ_2018_SIPIE-EL_v01_M
Producer(s)
Florence Kondylis, Valerie Mueller
Created on
Sep 07, 2023
Last modified
Sep 07, 2023
Page views
304291
Downloads
137
- Data files
- clean_household_data_sec1.dta
- clean_household_data_sec2.dta
- clean_household_data_sec3.dta
- clean_household_data_sec4.dta
- clean_household_data_sec5.dta
- clean_household_data_sec6.dta
- clean_household_data_sec7.dta
- clean_household_data_sec8.dta
- clean_household_data_sec9.dta
- clean_household_data_sec10.dta
- clean_household_data_sec11.dta
- clean_community_data.dta
- cropweightconversions_clean.dta
- hh_pweights_baseline_clean.dta
Area cultivated in season 1, plot 1 with crop 36 (areacult_s1_p1_c36)
Data file: clean_household_data_sec8.dta
Overview
Valid:
36
Invalid:
2602
Minimum:
0.025000000372529
Maximum:
1.79999995231628
Type:
Discrete
Decimal:
0
Start:
44273
End:
44290
Width:
18
Range:
0.025000000372529 - 1.79999995231628
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0.025000000372529 | 1 |
2.8%
|
|
| 0.0399999991059303 | 1 |
2.8%
|
|
| 0.0500000007450581 | 1 |
2.8%
|
|
| 0.0750000029802322 | 1 |
2.8%
|
|
| 0.0799999982118607 | 1 |
2.8%
|
|
| 0.0900000035762787 | 1 |
2.8%
|
|
| 0.100000001490116 | 2 |
5.6%
|
|
| 0.140000000596046 | 1 |
2.8%
|
|
| 0.150000005960464 | 4 |
11.1%
|
|
| 0.159999996423721 | 1 |
2.8%
|
|
| 0.200000002980232 | 1 |
2.8%
|
|
| 0.224999994039536 | 1 |
2.8%
|
|
| 0.239999994635582 | 1 |
2.8%
|
|
| 0.300000011920929 | 4 |
11.1%
|
|
| 0.400000005960464 | 2 |
5.6%
|
|
| 0.419999986886978 | 1 |
2.8%
|
|
| 0.5 | 3 |
8.3%
|
|
| 0.540000021457672 | 1 |
2.8%
|
|
| 0.625 | 1 |
2.8%
|
|
| 0.75 | 1 |
2.8%
|
|
| 0.800000011920929 | 1 |
2.8%
|
|
| 0.870000004768372 | 1 |
2.8%
|
|
| 1.08000004291534 | 1 |
2.8%
|
|
| 1.20000004768372 | 1 |
2.8%
|
|
| 1.5 | 1 |
2.8%
|
|
| 1.79999995231628 | 1 |
2.8%
|
|
| Sysmiss | 2602 |
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.