Housing

In ACS data, they are divided into 9 types, including detached single-family houses, attached 1-unit, mobile homes, RV cars, vans, boats, etc.

These data are used in government programs by local, state, tribal, and federal agencies to determine whether adequate housing is available and affordable for residents, as well as to provide and fund housing assistance programs. These statistics also aid in the enforcement of anti-discrimination laws, policies, and regulations in government programs and society.

This part of the data contains the number of rooms, number of bedrooms that create data about housing types, and occupants per room.

For the government, these statistics are used in programs that assess community air quality and energy requirements. For other federal agencies, these data are used to forecast future energy demand, analyze the fuels available to community residents, and plan and fund programs to assist low-income residents in affording to heat their homes.

Housing finance data includes whether the house has a mortgage and how much the price of the house is.

For communities, they can understand whether housing is affordable for residents by data about owners and renters, in combination with housing costs and the combined income of all people in a household. For us, according to these data, we can analyze do a community fits us to live in or not.