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AfDB to provide tablets for 2020 Census

The African Development Bank (AfDB) has pledged to provide electronic tablets for use during Zambia’s first-ever digital-based Census of Population and Housing in 2020.
Africa Development Bank Country Manager for Zambia Mary Monyau announced the Bank’s support during a recent Round Table Donor Meeting on the 2020 Census of Population and Housing.
Ms. Monyau said the AfDB was exploring the possibility of leasing tablets from different countries, depending on the census calendar, which would be used in Zambia’s 2020 Census.
The Bank normally provides Technical Assistance in census particularly in the preparatory activities in African countries, and Zambia was a beneficially in 2010.
Zambia has been a beneficially of the AfDB support in terms of various techniques of data collection and the bank pledged to support capacity building in the area of information technology.
The bank pledged to consider providing support in the areas of economic census including annual business survey. The support is likely to materialise in the first quarter of 2019.
The AfDB congratulated the Government of Zambia for its commitment to conduct Censuses and mainstreaming of the Sustainable Development Goals (SDGs) in the Seventh National Development Plan (7NDP).
The engagements with the Cooperating Partners and the private sector are part of the Minister of National Development Planning Alexander Chiteme’s continued efforts to mobilise resources for the 2020 Census for Population and Housing.
The estimated total budget for the 2020 Census of Population and Housing is K841, 563, 560.
Zambia will conduct the Census of Population and Housing in August 2020. The 2020 Census will be the first of its kind in Zambia to be conducted using electronic data collection methodology – Computer Assisted Personal Interviewing (CAPI).
The 2020 Census will be a complete shift from the traditional Pen and Paper Interview (PAPI) to Computer Assisted Personal Interview (CAPI)/digital Census.
The electronic data collection methodology will improve the quality of data collected and reduce the time-lag between data collection and the dissemination of results.

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