Impact Evaluation of the Lesotho Land Administration Reform 2019
Lesotho, 2013 - 2020
Get MicrodataCreated on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
23082
Downloads
35
- 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
Beds, sofas, couches, tables, chairs, cupboards, room dividers, etc (Q1301)
Data file: section_q2_expenses_last_12_months.dta
Overview
Valid:
1518
Invalid:
363
Minimum:
-997
Maximum:
60000
Type:
Discrete
Decimal:
2
Start:
306
End:
313
Width:
8
Range:
-997 - 60000
Format:
Numeric
Questions and instructions
Literal question
Section Q2: Expenses in the last 12 months
Q1301. Beds, sofas, couches, tables, chairs, cupboards, room dividers, etc.
Q1301. Beds, sofas, couches, tables, chairs, cupboards, room dividers, etc.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -997 | Don't know | 1 |
0.1%
|
| 0 | 1389 |
91.5%
|
|
| 1 | 2 |
0.1%
|
|
| 2 | 1 |
0.1%
|
|
| 185 | 1 |
0.1%
|
|
| 400 | 1 |
0.1%
|
|
| 650 | 1 |
0.1%
|
|
| 750 | 1 |
0.1%
|
|
| 800 | 2 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 1000 | 2 |
0.1%
|
|
| 1100 | 1 |
0.1%
|
|
| 1200 | 3 |
0.2%
|
|
| 1500 | 3 |
0.2%
|
|
| 1600 | 1 |
0.1%
|
|
| 1700 | 1 |
0.1%
|
|
| 1800 | 2 |
0.1%
|
|
| 2000 | 5 |
0.3%
|
|
| 2010 | 1 |
0.1%
|
|
| 2100 | 1 |
0.1%
|
|
| 2200 | 1 |
0.1%
|
|
| 2500 | 5 |
0.3%
|
|
| 3000 | 6 |
0.4%
|
|
| 3200 | 1 |
0.1%
|
|
| 3500 | 1 |
0.1%
|
|
| 3600 | 1 |
0.1%
|
|
| 3700 | 1 |
0.1%
|
|
| 3800 | 1 |
0.1%
|
|
| 4000 | 2 |
0.1%
|
|
| 4200 | 1 |
0.1%
|
|
| 4500 | 4 |
0.3%
|
|
| 4600 | 1 |
0.1%
|
|
| 5000 | 4 |
0.3%
|
|
| 5300 | 1 |
0.1%
|
|
| 5500 | 1 |
0.1%
|
|
| 6000 | 6 |
0.4%
|
|
| 6200 | 2 |
0.1%
|
|
| 6500 | 2 |
0.1%
|
|
| 6700 | 1 |
0.1%
|
|
| 7000 | 2 |
0.1%
|
|
| 7500 | 1 |
0.1%
|
|
| 7600 | 1 |
0.1%
|
|
| 8000 | 3 |
0.2%
|
|
| 8500 | 1 |
0.1%
|
|
| 9000 | 3 |
0.2%
|
|
| 10000 | 8 |
0.5%
|
|
| 10100 | 1 |
0.1%
|
|
| 10500 | 1 |
0.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 12000 | 5 |
0.3%
|
|
| 13500 | 1 |
0.1%
|
|
| 14000 | 4 |
0.3%
|
|
| 15000 | 4 |
0.3%
|
|
| 15200 | 1 |
0.1%
|
|
| 16000 | 1 |
0.1%
|
|
| 17000 | 1 |
0.1%
|
|
| 18000 | 3 |
0.2%
|
|
| 20000 | 3 |
0.2%
|
|
| 22000 | 2 |
0.1%
|
|
| 25000 | 1 |
0.1%
|
|
| 26000 | 1 |
0.1%
|
|
| 28000 | 1 |
0.1%
|
|
| 30000 | 3 |
0.2%
|
|
| 40000 | 1 |
0.1%
|
|
| 54000 | 1 |
0.1%
|
|
| 60000 | 1 |
0.1%
|
|
| Sysmiss | 363 |
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.