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50 State Database

National Center for Children in Poverty - Let's Invest in Families Today (LIFT)

Type of Source:
Describes the type of data source: federal administrative data, federal survey, survey conducted by private/nonprofit organizations, and other databases created by non-governmental organizations

Organizations that Collect Data on Children and Families
Source Description and Coverage:
Describes how data is collected and the sample representation
LIFT (Let's Invest in Families Today) is an initiative of the National Center for Children in Poverty. LIFT�s databases provide data on public policies, economic conditions, and demographics for�the�50 states and the District of Columbia. This database provides online tools to compare the information within and across states.
Data Available:
Includes a description of all variables available
State and Federal policies that assist low-income families and children, including policy rules, children's age and race/ethnicity, income status, education level, family structure, and employment status of parents, income distribution, wages and employment, and housing costs and home ownership.
Child Care Economic Data?
Coded as yes if data source has data on size of child care sector (number of establishments, number of employees, wages and gross receipts)
No
Demographic Data?
Coded as yes if data source has data on demographics of families and children.
Yes
Early Care and Education Program Data?
Coded as yes if data source has data on public and private early care and education enrollment, funding, and regulations.
Yes
Geographic Level:
Describes the geographic levels for which data is available
National, and state
Year Available:
Gives the year for the most recent data available for each source (as of 2004)
Database is continuously updated with the most current data available for each variable.
Raw Data:
Links the user to the website of the organization collecting the data, so user can access the raw data
http://nccp.org/wizard/wizard.cgi
In Cornell database? Not available in Cornell database