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This recording is of the closing plenary from #GCIR2020. Speakers discussed how COVID-19 is affecting their communities, their organizations, the 2020 census, and the upcoming election, and how they are responding in real-time.
This report provides a roadmap for how foundations and affinity groups can support the next Census in 2020.
Meeting materials from Philanthropy Counts: Mobilizing Funding for a Successful Census.
This infographic explains why the 2020 Census is important, why it's difficult to do accurately, and gives funding recommendations.
This infographic explains why the 2020 Census is particularly important to California and offers recomendations for funders.
This guide provides an overview of the 2010 census and background information for foundations interested in supporting efforts to produce a more accurate count of California's population.
Find all program-related materials for the "California Census 2020 Statewide Funders’ Initiative Quarter IV Meeting" here, including powerpoint and notes.
The Census 2020 HTC map application was developed by the CUNY Mapping Service at the City University of New York's Graduate Center. The Mapping Service, part of the Center for Urban Research, engages with foundations, government agencies, businesses, nonprofits, and other CUNY researchers to use spatial information and analysis techniques to develop and execute applied research projects. The Census 2020 HTC map reprises a similar applicationdeveloped by CUNY for the 2010 census.
This infographic covers reviews the populations the Census typically undercounts in California, why there is a state undercount, and how that undercount can be reduced in 2020.
Find all program-related materials for the "California Census 2020 Statewide Funders’ Initiative Final Meeting" here, including powerpoints and recording.
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur.
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur.
This open access book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur.