Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 9, Zimbabwe, 2023
Zimbabwe, 2023
Get MicrodataIdentification
ZWE_2023_DIEM_HS_R9_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 9, Zimbabwe, 2023
DIEM HHS ZWE R9 - 2023
| Name | Country code |
|---|---|
| Zimbabwe | ZWE |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis. This ninth-round survey was conducted via computer-assisted telephone interviews from 23 November to 22 December 2023, reaching 2832 households. The survey is representative at administrative level 1 in 8 out of the country’s 10 provinces, excluding Harare and Bulawayo metropolitan provinces. The survey is also representative at administrative level 2 in six drought-prone districts: Buhera, Chimanimani, Chiredzi, Chivi, Gwanda and Zaka.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
Scope
HOUSEHOLD : household information
INCOME SOURCES, SHOCKS : income changes, shocks experienced by households
CROP PRODUCTION : crops planted, area planted, area harvested, crop production difficulties CROP MARKETING : crop sale difficulties, crop sale price
LIVESTOCK PRODUCTION : types of livestock present on holding, number of livestock, livestock production difficulties LIVESTOCK MARKETING : livestock sale, livestock sale difficulties, livestock sale price
FISHERIES PRODUCTION : fish activity, comparison of fish production
FISHERIES MARKETING : fish sale, fish sale difficulties, fish sale price
FOOD SECURITY AND CONSUMPTION : food consumption, food utilization, comping strategies
NEEDS ASSISTANCE : open questions on the needs for assistance
Coverage
National coverage
Producers and sponsors
| Name |
|---|
| Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| European Union | EU |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
Sampling
The survey is representative at administrative level 1 in 8 out of the country's 10 provinces, excluding Harare and Bulawayo metropolitan provinces. The survey is also representative at administrative level 2 in six drought-prone districts: Buhera, Chimanimani, Chiredzi, Chivi, Gwanda and Zaka. These districts were sampled because they are at a high risk of facing El Niño driven drought during the 2023/24 agricultural season. The survey used a one-stage sample design and drew a simple random sample stratified by administrative level 1 resulting in a target of 2889 households. In the end, a total of 2832 households were reached. A minimum quota was set for agricultural households to ensure findings were representative at administrative level 1 and administrative level 2 in the six selected districts. Variable targets for agricultural and non-agricultural households were set following the proportion observed in the population, which resulted in 2531 surveyed agricultural households and 301 surveyed non-agricultural households.
Surveys are designed based on country-specific needs, objectives, and constraints. The sample design ensures a 10 percent margin of error and a 95 percent confidence level at the target administrative level, and aims to achieve these precision levels for key variables within the targeted populations, including agricultural households.
Weights were applied to ensure survey representativeness and to correct for sampling biases. Base weights were used to adjust for disproportionate probabilities of selection across regions and were normalized to reflect the national population distribution. Quota weights were introduced to balance the representation of agricultural and non-agricultural households. Finally, wealth weights were applied as post-stratification adjustments, using access to electricity as the wealth proxy.
Data collection
| Start | End |
|---|---|
| 2023-11-23 | 2023-12-22 |
- Computer Assisted Telephone Interview [cati]
Data processing
The datasets have been edited and processed for analysis by the Data in Emergencies Hub (DIEM) team at the Office of Emergencies and Resilience, FAO, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.
STATISTICAL DISCLOSURE CONTROL (SDC)
The dataset was anonymized by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub and reviewed by the Statistics Division, using Statistical Disclosure methods in accordance with FAO Corporate Statistical Disclosure Control Protocol. All direct identifiers have been removed prior to data submission. For more information, see https://openknowledge.fao.org/server/api/core/bitstreams/833ee200-0484-4f87-8f5c-b3fed4a3722b/content.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
FAO. 2025. Data in Emergencies Monitoring Household Survey – Zimbabwe, Round 9, 2023. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
Metadata production
DDI_ZWE_2023_DIEM_HS_R9_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | OER | Food and Agriculture Organization of the United Nations | Metadata producer |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |