ZWE_2023_DIEM_HS_R8_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring Household Survey – Round 8, Zimbabwe, 2023
DIEM HH ZWE R8 - 2023
| Name | Country code |
|---|---|
| Zimbabwe | ZWE |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations (FAO) 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 (more or less every four months, depending on seasonality). FAO launched an eighth round of DIEM household survey in Zimbabwe to monitor agricultural livelihoods and food security. This survey is representative at admin 1 level (Provincial level) and reached 1474 households in 8 out of 10 provinces excluding Harare and Bulawayo metropolitan provinces. Data was collected via computer-assisted telephone interviews between 12 and 29 July 2023.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
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 : needs for assistance
National coverage
| 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 |
|---|---|
| United States Agency for International Development | USAID |
| European Union | EU |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
The sample was designed to provide representative estimates at Admin 1 (provincial) level. Eight out of 10 provinces, excluding Harare and Bulawayo metropolitan provinces, were surveyed.
A fixed number of 160 agricultural households were targeted at the provincial level and quotas were set on agricultural households following the proportion observed in the population. This resulted in a sample target of 1280 agricultural households.
Variable targets for non-agricultural households were set following the proportion observed in the population, which resulted in a sample target of 161 non-agricultural households.
Actual samples for agricultural and non-agricultural households were1306 and 168, respectively. Samples for crop and livestock producers were 1160 and 831, respectively.
The sample design and size aim to achieve a 10 percent margin of error, a 95 percent confidence level, administrative-level granularity, and sufficient sample sizes for key variables within target populations, including agricultural households.
Three types of weights were calculated to ensure that the survey results accurately reflect the structure of the population:
-base weights to correct for selection probabilities,
-quota weights to adjust the sample to match the share of agricultural versus non-agricultural households, and
-wealth weights where “access to electricity” was used as a proxy for household wealth.
These were combined to produce the final weight at the admin 1 level.
A link to the questionnaire has been provided in the documentations tab.
| Start | End |
|---|---|
| 2023-07-12 | 2023-07-29 |
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.
| 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:
FAO. 2023.Data in Emergencies Monitoring Household Survey - Zimbabwe, Round 8, 2023. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
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.
| 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/ |
DDI_ZWE_2023_DIEM_HS_R8_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 |