Impact evaluation of the Improvement of Land Governance in Uganda to Increase Productivity of Small-Scale Farmers on Mailo-Land 2023
Endline

Uganda, 2023

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Reference ID

UGA_2023_ILGUIE-EL_v01_M

DOI

https://doi.org/10.48529/t75a-b729

Producer(s)

Heather Huntington, Thea Hilhorst, Kate Marple-Cantrell, Klaus Deininger, Daniel Ayalew Ali

Collection(s)

Impact Evaluation Surveys

Metadata

Documentation in PDF DDI/XML JSON

Created on

Apr 30, 2025

Last modified

Apr 30, 2025

Page views

21726

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164

C03: What are the main goods/services produced at ${wage_ref}’s place of work or (C03)

Data file: c_wage_employment_and_non_market_labor_activities.dta

Overview

Valid: 915

Invalid: 4750

Minimum: 111

Maximum: 9997

Type: Discrete

Decimal: 0

Start: 253

End: 256

Width: 4

Range: 111 - 9997

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
-7	Not applicable	0	0%
111	Legislators and senior officials	1	0.1%
112	Managing directors and chief executives	1	0.1%
131	Production managers in agriculture, for	60	6.6%
143	Other services managers	14	1.5%
222	Nursing and midwifery professionals	2	0.2%
226	Other health professionals	6	0.7%
231	University and higher education teacher	0	0%
232	Vocational education teachers	1	0.1%
233	Secondary education teachers	11	1.2%
234	Primary school and early childhood teac	27	3%
241	Finance professionals	3	0.3%
242	Administration professionals	3	0.3%
263	Social and religious professionals	1	0.1%
311	Physical and engineering science techni	1	0.1%
312	Mining, manufacturing and construction	1	0.1%
322	Nursing and midwifery associate profess	2	0.2%
334	Administrative and specialized secretar	0	0%
335	Regulatory government associate profess	0	0%
341	Legal, social and religious associate p	1	0.1%
431	Numerical clerks	0	0%
441	Other clerical support workers	3	0.3%
511	Travel attendants, conductors and guide	3	0.3%
512	Cooks	9	1%
514	Hairdressers, beauticians and related w	2	0.2%
515	Building and housekeeping supervisors	17	1.9%
516	Other personal services workers	10	1.1%
521	Street and market salespersons	2	0.2%
522	Shop salespersons	9	1%
524	Other sales workers	9	1%
541	Protective services workers	1	0.1%
611	Market gardeners and crop growers	15	1.6%
621	Forestry and related workers	3	0.3%
622	Fishery workers, hunters and trappers	2	0.2%
631	Subsistence crop farmers	410	44.8%
632	Subsistence livestock farmers	12	1.3%
633	Subsistence mixed crop and livestock fa	43	4.7%
711	Building frame and related trades worke	2	0.2%
712	Building finishers and related trades w	1	0.1%
713	Painters, building structure cleaners a	1	0.1%
721	Sheet and structural metal workers, mou	1	0.1%
723	Machinery mechanics and repairers	3	0.3%
731	Handicraft workers	10	1.1%
751	Food processing and related trades work	6	0.7%
831	Locomotive engine drivers and related w	0	0%
833	Heavy truck and bus drivers	1	0.1%
834	Mobile plant operators	0	0%
888	Don't know	14	1.5%
911	Domestic, hotel and office cleaners and	3	0.3%
921	Agricultural, forestry and fishery labo	28	3.1%
931	Mining and construction labourers	2	0.2%
932	Manufacturing labourers	2	0.2%
933	Transport and storage labourers	3	0.3%
941	Food preparation assistants	8	0.9%
951	Street and related service workers	3	0.3%
952	Street vendors (excluding food)	4	0.4%
962	Other elementary workers	9	1%
9911	Commissioned armed forces officers	1	0.1%
9921	Non-commissioned armed forces officers	0	0%
9931	Armed forces occupations, other ranks	2	0.2%
9997	Other Specify	126	13.8%
Sysmiss		4750

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.

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