Impact Evaluation of the Lesotho Land Administration Reform 2019
Lesotho, 2013 - 2020
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Mar 29, 2022
Last modified
Mar 29, 2022
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- Data files
- Section_B_Household_Members.dta
- section_bb_land_ownership_by_women.dta
- section_bn.dta
- section_bz_decision_making.dta
- section_c1_salaried_wage_employment.dta
- section_c2_self_employment.dta
- section_c3_transfers_remittances_pensions.dta
- section_d4_parcels_housing_commercial_vacant.dta
- section_e_characterics_of_parcels.dta
- section_f_information_on_parcels.dta
- section_g_land_conflicts.dta
- section_h_rights_land_perception_risks.dta
- section_j_parcels_rented_in.dta
- Section_K_Investement.dta
- Section_L_Credit.dta
- section_n.dta
- section_o_consumption.dta
- section_p_ownership_of_assets.dta
- section_q1_monthly_expenditures.dta
- section_q2_expenses_last_12_months.dta
- section_q3_sale_of_household_goods.dta
- lesotho_land_panel_2019.dta
Fabrics for clothing (Q103)
Data file: section_q1_monthly_expenditures.dta
Overview
Valid:
1517
Invalid:
364
Minimum:
-997
Maximum:
5000
Type:
Discrete
Decimal:
0
Start:
74
End:
77
Width:
4
Range:
-997 - 5000
Format:
Numeric
Questions and instructions
Literal question
Section Q1: Monthly expenditures
Q103. Fabrics for clothing
Q103. Fabrics for clothing
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -997 | Don't know | 8 |
0.5%
|
| 0 | 1434 |
94.5%
|
|
| 1 | 1 |
0.1%
|
|
| 15 | 4 |
0.3%
|
|
| 30 | 2 |
0.1%
|
|
| 32 | 1 |
0.1%
|
|
| 40 | 2 |
0.1%
|
|
| 50 | 7 |
0.5%
|
|
| 60 | 3 |
0.2%
|
|
| 80 | 1 |
0.1%
|
|
| 90 | 2 |
0.1%
|
|
| 100 | 3 |
0.2%
|
|
| 150 | 1 |
0.1%
|
|
| 200 | 6 |
0.4%
|
|
| 250 | 4 |
0.3%
|
|
| 300 | 4 |
0.3%
|
|
| 350 | 2 |
0.1%
|
|
| 400 | 1 |
0.1%
|
|
| 450 | 1 |
0.1%
|
|
| 500 | 14 |
0.9%
|
|
| 600 | 1 |
0.1%
|
|
| 700 | 3 |
0.2%
|
|
| 800 | 2 |
0.1%
|
|
| 1000 | 4 |
0.3%
|
|
| 1200 | 1 |
0.1%
|
|
| 1500 | 2 |
0.1%
|
|
| 3000 | 2 |
0.1%
|
|
| 5000 | 1 |
0.1%
|
|
| Sysmiss | 364 |
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.