Annual Agricultural Survey - 2019, Third Season
Uganda, 2019 - 2020
Reference ID
UGA-UBOS-AAS-2019-v01
Producer(s)
Uganda Bureau of Statistics (UBOS)
Metadata
Created on
Jul 12, 2023
Last modified
Feb 20, 2025
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Identification
Survey ID Number
UGA-UBOS-AAS-2019-v01
Title
Annual Agricultural Survey - 2019, Third Season
Subtitle
Third Season
Country
| Name | Country code |
|---|---|
| Uganda | UGA |
Study type
Agricultural Survey [ag/oth]
Abstract
The Annual Agricultural Survey (AAS) is an integrated modular survey aiming to provide high quality and timely data on
the performance of the Ugandan agricultural sector, as well as core indicators on crop and livestock for better agricultural
policy making.
Data collection for the AAS is implemented in two waves, corresponding to the first (January-June) and second (July-
December) seasons of the Ugandan agricultural year. For each season, households in the survey's sample are interviewed
twice, during the Post-Planting (PP) period and the post-harvesting (PH) period. This results in a total of four visits during the
agricultural year.
Among information collected with the AAS there is data on:
- The quantity and value of agricultural production;
- The access to extension services, market information and agricultural facility;
- Livestock keeping and animal products production;
- The socio-demographic characteristics of agricultural household members.
The collected data is used to produce a set of tables and indicators for tracking and evaluating the impacts of government and
development programs on agriculture, and to compute SDG and CAADP indicators related to food and agriculture. For the
main findings from the AAS 2019, see the Executive Summary of the AAS 2019 Report (see external ressources section)
the performance of the Ugandan agricultural sector, as well as core indicators on crop and livestock for better agricultural
policy making.
Data collection for the AAS is implemented in two waves, corresponding to the first (January-June) and second (July-
December) seasons of the Ugandan agricultural year. For each season, households in the survey's sample are interviewed
twice, during the Post-Planting (PP) period and the post-harvesting (PH) period. This results in a total of four visits during the
agricultural year.
Among information collected with the AAS there is data on:
- The quantity and value of agricultural production;
- The access to extension services, market information and agricultural facility;
- Livestock keeping and animal products production;
- The socio-demographic characteristics of agricultural household members.
The collected data is used to produce a set of tables and indicators for tracking and evaluating the impacts of government and
development programs on agriculture, and to compute SDG and CAADP indicators related to food and agriculture. For the
main findings from the AAS 2019, see the Executive Summary of the AAS 2019 Report (see external ressources section)
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural households (i.e. agricultural holdings in the household sector)
Version
Version Description
v2.1: Edited, anonymized dataset distributed as scientific use file
Version Date
2019-08-08
Scope
Notes
The AAS 2019 collects data for the timespan of an agricultural year. The Ugandan Agricultural year is divided in two seasons, and, for each season, households are interviewed twice: during the post-planting and the post-harvesting periods. The questionnaire used during the post-planting season is called "Form 4 - Crop Area Module" and is organized as follows: - Section 4.1: Cover Page; - Section 4.2: Household Roster; - Section 4.3: Enterprise Identification; - Section 4.4: Parcel Roster; - Section 4.5: Plot Roster; - Section 4.6: Crop Roster. The questionnaire used for the post-harvesting visit is called "Form 52- Crop Production, Household and Holding Characteristics Module" and is organized as follows: - Section 5.1: Cover Page; - Section 5.2: Household Roster; - Section 5.3: Production and Dispositions of Crops; - Section 5.4: Agricultural Inputs; - Section 5.5: Production Activities and their Costs; - Section 5.6: Labour Input on the Holding; - Section 5.7.1: Cattle and Pack Animals; - Section 5.7.2: Small Ruminants; - Section 5.7.3: Poultry; - Section 5.8.1: Cattle and Pack Animals: Input Costs; - Section 5.8.2: Small Ruminants: Input Costs; - Section 5.8.3: Poultry: Input Costs; - Section 5.9.1: Cattle Meat; - Section 5.9.2: Small Ruminants Meat; - Section 5.9.3: Poultry Meat; - Section 5.9.4: Cattle Milk; - Section 5.9.5: Small Ruminants Milk; - Section 5.9.6: Eggs Production; - Section 5.9.7: Other Animal Products; - Section 5.10: Sources of Agricultural Information; - Section 5.11: Access to facilities; - Section 5.12: Transport Means; - Section 5.13: Storage Facilities; - Section 5.14: Access to Credit; - Section 5.15: Fixed Costs; - Section 5.16: Shocks and Food Security; - Section 5.17: Extension Services; - Section 5.18: Land Disputes.
Topics
| Topic | Vocabulary |
|---|---|
| Agricultural Production | World Bank |
| Economy | World Bank |
| Labour | World Bank |
Keywords
| Keyword |
|---|
| Agricultural production |
| Crop Yield |
| Livestock |
| AGRISurvey |
| Agricultural practices |
| Agricultural households |
Coverage
Geographic Coverage
The AAS is a national survey representative at the regional, sub-regional and zardi level. The National territory has been divided in 10 ZARDIs which are aligned to 10 Agro-ecological zones in Uganda. Each agro-ecological zone includes districts with similar climate, land use and cropping patterns. The following are the 10 Zardis considered for the AAS:
1) Abi: districts included are Arua, Nebbi, Moyo, Adjumani, Koboko, Yumbe, Maracha-Terego and Zombo;
2) Buginyanya: districts included are Sironko, Mbale, Iganga, Jinja, Tororo, Mayuge, Namutumba, Namayingo,
Luuka,Kamuli, Kaliro, Buyende, Bugiri, Pallisa, Kibuku, Butaleja, Busia, Budaka, Manafwa, Kween, Kapchorwa,
Bulambuli, Bukwo and Bududa;
3) Bulindi: districts included are Hoima, Masindi, Kiryandongo, Kibaale, and Buliisa;
4) Kachwekano: districts included are Kabale, Rukungiri, Kanungu and Kisoro;
5) Mukono: districts included are Mukono, Mpigi, Kayunga, Kalangala, Kampala, Luwero, Masaka, Nakasongola, Mubende,
Wakiso, Nakaseke, Buikwe, Buvuma, Mityana, Kiboga, Kyankwanzi, Gombe, Kalungu, Bukomansimbi, Butambala and
Lwengo;
6) Ngetta: districts included are Lira, Apac, Dokolo, Lamwo, Nwoya, Agago, Albetong, Amolatar, Kole, Otuke, Oyam,
Pader,Kitgum, Amuru and Gulu;
7) Nabuin: districts included are Moroto, Nakapiripirit, Kotido, Napak, Amudat, Kaabong and Abim;
8) Serere: districts included are Serere, Kumi, Bukedea Amuria, Ngora, Katakwi, Soroti and Kaberamaido;
9) Mbarara: districts included are Mbarara, Ntungamo, Bushenyi, Kiruhura, Lyantonde, Sheema, Rubirizi, Mitoma,
Isingiro,Ibanda, Buhweju, Sembabule, and Rakai;
10) Rwebitaba: districts included are Bundubugyo, Kabarole, Kamwenge, Kasese, Kyegegwa, Kyenjojo and Ntoroko.
Being an urban area, Kampala has been excluded from the survey. Also Ntoroko district was not included in the sample.
1) Abi: districts included are Arua, Nebbi, Moyo, Adjumani, Koboko, Yumbe, Maracha-Terego and Zombo;
2) Buginyanya: districts included are Sironko, Mbale, Iganga, Jinja, Tororo, Mayuge, Namutumba, Namayingo,
Luuka,Kamuli, Kaliro, Buyende, Bugiri, Pallisa, Kibuku, Butaleja, Busia, Budaka, Manafwa, Kween, Kapchorwa,
Bulambuli, Bukwo and Bududa;
3) Bulindi: districts included are Hoima, Masindi, Kiryandongo, Kibaale, and Buliisa;
4) Kachwekano: districts included are Kabale, Rukungiri, Kanungu and Kisoro;
5) Mukono: districts included are Mukono, Mpigi, Kayunga, Kalangala, Kampala, Luwero, Masaka, Nakasongola, Mubende,
Wakiso, Nakaseke, Buikwe, Buvuma, Mityana, Kiboga, Kyankwanzi, Gombe, Kalungu, Bukomansimbi, Butambala and
Lwengo;
6) Ngetta: districts included are Lira, Apac, Dokolo, Lamwo, Nwoya, Agago, Albetong, Amolatar, Kole, Otuke, Oyam,
Pader,Kitgum, Amuru and Gulu;
7) Nabuin: districts included are Moroto, Nakapiripirit, Kotido, Napak, Amudat, Kaabong and Abim;
8) Serere: districts included are Serere, Kumi, Bukedea Amuria, Ngora, Katakwi, Soroti and Kaberamaido;
9) Mbarara: districts included are Mbarara, Ntungamo, Bushenyi, Kiruhura, Lyantonde, Sheema, Rubirizi, Mitoma,
Isingiro,Ibanda, Buhweju, Sembabule, and Rakai;
10) Rwebitaba: districts included are Bundubugyo, Kabarole, Kamwenge, Kasese, Kyegegwa, Kyenjojo and Ntoroko.
Being an urban area, Kampala has been excluded from the survey. Also Ntoroko district was not included in the sample.
Universe
Agricultural households (i.e. agricultural holdings in the household sector)
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics (UBOS) | Government of Uganda |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Food and Agriculture Organization | United Nations | Provided technical assistance and trainings to UBOS |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| US Agency for International Development | USAID | Financial assistance through the AGRISurvey program |
| Initiative - Data production component(FAO) (50x2030 - FAO) | FAO | Technical and Financial Assistance, Logistic Support |
| AGRISurvey Program of the Food and Agriculture Organization of the United Nations ( FAO) | FAO | Technical and Financial Technical and Financial Assistance, Logistic Support |
Sampling
Sampling Procedure
A two-stage sampling design was adopted for the AAS 2019. To increase the efficiency of the sample design, the sampling frame was stratified into 10 ZARDIs. In each stratum, the first stage was the selection of the Primary Sampling Unit (PSU), which is the EA (enumerator area) and the second stage was the selection of the Secondary Sampling Unit (SSU), which are
the Ag HHs. The survey covered households cultivating crops and/or raising livestock, including households that were cultivating a few crops or raising a limited number of animals. No minimum threshold on the amount of land cultivated or animals raised was set nor did the survey aim to generate estimates concerning aquaculture, forestry and fisheries.
Sample size
The survey generated national, regional and sub-regional level estimates. A sample of 593 EAs and an average of 12 Ag HHs were selected from each EA.
the Ag HHs. The survey covered households cultivating crops and/or raising livestock, including households that were cultivating a few crops or raising a limited number of animals. No minimum threshold on the amount of land cultivated or animals raised was set nor did the survey aim to generate estimates concerning aquaculture, forestry and fisheries.
Sample size
The survey generated national, regional and sub-regional level estimates. A sample of 593 EAs and an average of 12 Ag HHs were selected from each EA.
Response Rate
The response rate was about the 84%.
Weighting
Sampling weights are included in each microdata files.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2019-06-15 | 2019-08-28 | First Season,Post-planting |
| 2019-09-16 | 2019-11-30 | First Season,Post-Harvest |
| 2019-12-02 | 2020-03-14 | Second Season,Post-planting |
| 2020-03-05 | 2020-10-17 | Second Season,Post-Harvest |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Supervision
Data collection for the AAS 2019 was performed by 15 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection
were tested and refined. During the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this was sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory.
Data collection for the AAS 2019 was performed by 15 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection
were tested and refined. During the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this was sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory.
Data Collectors
| Name | Abbreviation |
|---|---|
| Uganda Bureau of Statistics, Directorate of Agriculture and Environmental Statistics | UBOS, DAES |
Questionnaires
Questionnaires
The AAS 2019 implemented two main questionnaires i.e. the Post-Planting, and Post-harvesting questionnaires. For each season, agricultural households are interviewed twice: during the post-planting and the post-harvesting visit. The questionnaire used during the post-planting season is called "Form 4 - Crop Area Module" and collects information on:
1) Household member socio-demographic characteristics;
2) Agricultural enterprises undertaken by the household in the current agricultural season;
3) Land use (Parcel and plots used by the agricultural households) i.e. Access to land, land use rights, decision making, land
area, seed/seedlings utilization, etc. The main objective of this questionnaire is to estimate land areas for crops planted. This is done combining objective
measurement (i.e., GPS) on plots and parcels and then collecting the share of land area covered by each crop on each plot (based on farmer's assessment). In addition, the questionnaire collects information on land tenure and use of agricultural inputs. This questionnaire contains a roster of household members, a roster of parcels, a roster of plots for each parcel and a list of crops by plot.
The questionnaire used for the post-harvesting visit is called "Form 52- Crop Production, Household and Holding
Characteristics Module" and collects information on:
1) Household member socio-demographic characteristics (only for new household members)
2) Crop production and disposals
3) Use of agricultural inputs for crop production
4) Cost of labour used for crop production
5) Labour input used on the agricultural household6) Animal raised on the holding
7) Inputs used for livestock production
8) Livestock production and dispositions
9) Access to agricultural information
10) Access to means of transportation
11) Access to storage facilities
12) Access to agricultural credit
13) Fixed costs of the agricultural household
14) Shocks and food security of the agricultural household
15) Access to extension services
16) Land disputes
Information 1-5 are collected in both first and second season while 6-16 is asked during the second season only. The main objective of this questionnaire is to collect data on crops harvested by agricultural households, based on farm declarations. In addition, the questionnaire collects information concerning the disposition of crops, labour input and use of
inputs such as chemicals. Furthermore, it aims to collect livestock capital, animal production and inputs over a 12- month reference period, thus covering the entire agricultural year. The post-harvesting questionnaire also collects information concerning household and holding characteristics, such as access to market and agricultural information, household food
security, shocks and their impact on food security etc.
1) Household member socio-demographic characteristics;
2) Agricultural enterprises undertaken by the household in the current agricultural season;
3) Land use (Parcel and plots used by the agricultural households) i.e. Access to land, land use rights, decision making, land
area, seed/seedlings utilization, etc. The main objective of this questionnaire is to estimate land areas for crops planted. This is done combining objective
measurement (i.e., GPS) on plots and parcels and then collecting the share of land area covered by each crop on each plot (based on farmer's assessment). In addition, the questionnaire collects information on land tenure and use of agricultural inputs. This questionnaire contains a roster of household members, a roster of parcels, a roster of plots for each parcel and a list of crops by plot.
The questionnaire used for the post-harvesting visit is called "Form 52- Crop Production, Household and Holding
Characteristics Module" and collects information on:
1) Household member socio-demographic characteristics (only for new household members)
2) Crop production and disposals
3) Use of agricultural inputs for crop production
4) Cost of labour used for crop production
5) Labour input used on the agricultural household6) Animal raised on the holding
7) Inputs used for livestock production
8) Livestock production and dispositions
9) Access to agricultural information
10) Access to means of transportation
11) Access to storage facilities
12) Access to agricultural credit
13) Fixed costs of the agricultural household
14) Shocks and food security of the agricultural household
15) Access to extension services
16) Land disputes
Information 1-5 are collected in both first and second season while 6-16 is asked during the second season only. The main objective of this questionnaire is to collect data on crops harvested by agricultural households, based on farm declarations. In addition, the questionnaire collects information concerning the disposition of crops, labour input and use of
inputs such as chemicals. Furthermore, it aims to collect livestock capital, animal production and inputs over a 12- month reference period, thus covering the entire agricultural year. The post-harvesting questionnaire also collects information concerning household and holding characteristics, such as access to market and agricultural information, household food
security, shocks and their impact on food security etc.
Data Processing
Data Editing
Supervision
Data collection for the AAS 2019 was performed by 15 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection
were tested and refined. During the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to
their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this
was sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory.
Data collection for the AAS 2019 was performed by 15 teams constituted by, on average, three enumerators and 1 supervisor. After recruitment, both supervisors and enumerators received two trainings, one on the post-planting (PP) and one on the post-harvesting (PH) questionnaires. During these trainings, the CAPI PP and PH applications to be used for data collection
were tested and refined. During the data collection stage, after completing a CAPI interview, enumerators submitted the electronic interview to
their supervisors through Survey Solutions. Then, Supervisor checked the quality of data collected and decided on whether accepting or rejecting the completed case. When a supervisor rejected an interview, the interview was sent back to the interviewer tablet in order to be corrected as requested. On the other hand, when the supervisor accepted an interview, this
was sent to the headquarter for final validation. This process continued until the quality of collected data was considered as satisfactory.
Data Appraisal
Estimates of Sampling Error
The accuracy of the survey results depends on the sampling and the non-sampling errors. The AAS 2019 had a large enough and representative sample to limit sampling errors. On the other hand, the non-sampling errors, usually errors that arise during data collection, were controlled through thorough training of the data collectors, field supervision by the headquarters team, and a well-developed CAPI programme. The Coefficients of Variations (CVs) and Confidence Intervals (CIs) for selected indicators at national, ZARDI and sub-regional levels are presented in the Annex tables.
Access policy
Contacts
| Name | URL | |
|---|---|---|
| Uganda Bureau of Statistics | ubos@ubos.org | Link |
Confidentiality
The AAS 2019 Second Season microdata has been adequately anonymized before dissemination. Confidentiality of respondents is guaranteed by Article 19 of the Uganda Bureau of Statistics Act , 1998. Before being granted access to the microdata files, all users have to formally agree and sign the UBOS microdata terms of use and conditions for scientific use files.
Access conditions
The AAS 2019 Second Season microdata are disseminated as Scientific Use File (SUF) to accredited users.
Citation requirements
Uganda Bureau of Statistics. Annual Agricultura Survey (AAS) 2019, Version 1.2 of the scientific use file, provided by the Uganda National Data Archive. www.microdata.ubos.org
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Uganda Bureau of Statistics (UBOS) | Ministry of Finance | ubos@ubos.org | Link |
Disclaimer and copyrights
Disclaimer
Uganda Bureau of Statistics shall not be liable to users of its data and information or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation, or modification of the data.
Copyright
(c) 2022, Uganda Bureau of Statistics
Metadata production
DDI Document ID
DDI-UGA-UBOS-AAS-2019-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Uganda Bureau of Statistics | UBOS | ||
| Food and Agriculture Organization | FAO | United Nations | Technical assistance on microdata documentation |
Date of Metadata Production
2020-08-12
DDI Document version
Version 1.0 (August 2020)