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
36089
Downloads
45
- 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
If you wanted to, for how much could you sell ALL these items? - 6 (P02_ei_6)
Data file: section_p_ownership_of_assets.dta
Overview
Valid:
444
Invalid:
1134
Minimum:
-997
Maximum:
17000
Type:
Discrete
Decimal:
0
Start:
284
End:
288
Width:
5
Range:
-997 - 17000
Format:
Numeric
Questions and instructions
Literal question
Section P: Ownership of assets
P02_EI. If you wanted to, for how much could you sell ALL these items? Radio
P02_EI. If you wanted to, for how much could you sell ALL these items? Radio
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -997 | Don’t know | 4 |
0.9%
|
| 0 | 1 |
0.2%
|
|
| 14 | 1 |
0.2%
|
|
| 25 | 1 |
0.2%
|
|
| 30 | 5 |
1.1%
|
|
| 40 | 1 |
0.2%
|
|
| 50 | 11 |
2.5%
|
|
| 60 | 2 |
0.5%
|
|
| 70 | 5 |
1.1%
|
|
| 80 | 4 |
0.9%
|
|
| 100 | 28 |
6.3%
|
|
| 120 | 4 |
0.9%
|
|
| 130 | 1 |
0.2%
|
|
| 150 | 14 |
3.2%
|
|
| 180 | 1 |
0.2%
|
|
| 200 | 24 |
5.4%
|
|
| 250 | 8 |
1.8%
|
|
| 300 | 12 |
2.7%
|
|
| 350 | 5 |
1.1%
|
|
| 400 | 5 |
1.1%
|
|
| 420 | 1 |
0.2%
|
|
| 450 | 3 |
0.7%
|
|
| 500 | 29 |
6.5%
|
|
| 600 | 6 |
1.4%
|
|
| 650 | 1 |
0.2%
|
|
| 700 | 10 |
2.3%
|
|
| 750 | 2 |
0.5%
|
|
| 800 | 15 |
3.4%
|
|
| 900 | 2 |
0.5%
|
|
| 1000 | 18 |
4.1%
|
|
| 1070 | 1 |
0.2%
|
|
| 1200 | 8 |
1.8%
|
|
| 1300 | 5 |
1.1%
|
|
| 1500 | 23 |
5.2%
|
|
| 1600 | 2 |
0.5%
|
|
| 1800 | 6 |
1.4%
|
|
| 1900 | 1 |
0.2%
|
|
| 2000 | 28 |
6.3%
|
|
| 2100 | 1 |
0.2%
|
|
| 2200 | 2 |
0.5%
|
|
| 2300 | 1 |
0.2%
|
|
| 2500 | 15 |
3.4%
|
|
| 2600 | 1 |
0.2%
|
|
| 2800 | 4 |
0.9%
|
|
| 3000 | 24 |
5.4%
|
|
| 3200 | 2 |
0.5%
|
|
| 3400 | 2 |
0.5%
|
|
| 3500 | 11 |
2.5%
|
|
| 3600 | 1 |
0.2%
|
|
| 3680 | 1 |
0.2%
|
|
| 3700 | 1 |
0.2%
|
|
| 4000 | 15 |
3.4%
|
|
| 4300 | 1 |
0.2%
|
|
| 4400 | 1 |
0.2%
|
|
| 4500 | 5 |
1.1%
|
|
| 5000 | 12 |
2.7%
|
|
| 5200 | 1 |
0.2%
|
|
| 5500 | 1 |
0.2%
|
|
| 6000 | 6 |
1.4%
|
|
| 6400 | 1 |
0.2%
|
|
| 6500 | 2 |
0.5%
|
|
| 6800 | 1 |
0.2%
|
|
| 7000 | 3 |
0.7%
|
|
| 7500 | 3 |
0.7%
|
|
| 8000 | 6 |
1.4%
|
|
| 9000 | 1 |
0.2%
|
|
| 9500 | 1 |
0.2%
|
|
| 10000 | 7 |
1.6%
|
|
| 11500 | 1 |
0.2%
|
|
| 12000 | 3 |
0.7%
|
|
| 14000 | 1 |
0.2%
|
|
| 15000 | 6 |
1.4%
|
|
| 17000 | 2 |
0.5%
|
|
| Sysmiss | 1134 |
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.