Annual Agricultural Sample Survey 2022-2023 Tanzania, 2023 - 2024
- URL
- https://microdata.worldbank.org//catalog/fao/?page=1&sk=AASS&ps=15&repo=fao
- Description
The Annual Agricultural Sample Survey (AASS) for the year 2022/23 aimed to enhance the understanding of agricultural activities across the United Republic of Tanzania by collecting comprehensive data on various aspects of the agricultural sector. This survey is crucial for policy formulation, development planning, and service delivery, providing reliable data to monitor and evaluate national and international development frameworks.
The 2022/23 survey is particularly significant as it informs the monitoring and evaluation of key agricultural development strategies and frameworks. The collected data will contribute to the Tanzania Development Vision 2025, Zanzibar Development Vision 2020, the Five-Year Development Plan 2021/22–2025/26, the National Strategy for Growth and Reduction of Poverty (NSGRP) known as MKUKUTA, and the Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP) known as MKUZA. The survey data also supports the evaluation of Sustainable Development Goals (SDGs) and Comprehensive Africa Agriculture Development Programme (CAADP). Key indicators for agricultural performance and poverty monitoring are directly measured from the survey data.
The 2022/23 AASS provides a detailed descriptive analysis and related tables on the main thematic areas. These areas include household members and holder identification, field roster, seasonal plot and crop rosters (Vuli, Masika, and Dry Season), permanent crop production, crop harvest use, seed and seedling acquisition, input use and acquisition (fertilizers and pesticides), livestock inventory and changes, livestock production costs, milk and eggs production, other livestock products, aquaculture production, and labor dynamics. The 2022/23 AASS offers an extensive dataset essential for understanding the current state of agriculture in Tanzania. The insights gained will support the development of policies and interventions aimed at enhancing agricultural productivity, sustainability, and the livelihoods of farming communities. This data is indispensable for stakeholders addressing challenges in the agricultural sector and promoting sustainable agricultural development.
Statistical Disclosure Control (SDC) methods have been applied to the microdata, to protect the confidentiality of the individual data collected. Users must be aware that these anonymization or SDC methods modify the data, including suppression of some data points. This affects the aggregated values derived from the anonymized microdata, and may have other unwanted consequences, such as sampling error and bias. Additional details about the SDC methods and data access conditions are provided in the data processing and data access conditions below.The Annual Agriculture Survey 2022/23 covered both large-scale and household farming. The main topics covered for both types of farming were as follows:
a) Household Members and Holder Identification
b) Field Roster
c) Vuli Plot Roster
d) Vuli Crop Roster
e) Masika and Dry Season Plot Roster
f) Masika and Dry Season Crop Roster
g) Permanent Crop Production
h) Crop Harvest Use
i) Seed and Seedling Acquisition
j) Input Use and Acquisition (Fertilizer and Pesticides)
k) Livestock in Stock and Change in Stock
l) Livestock Production Costs
m) Milk Production
n) Eggs Production
o) Other Livestock Products
p) Aquaculture Production
q) Labour- Sample
- Format
- Series - ongoing
- Country
- Tanzania
- Title
- Annual Agricultural Sample Survey 2022-2023 Tanzania, 2023 - 2024
- Format
- Series - ongoing