American Community Survey
social-media

American Community Survey

The American Community Survey is an ongoing survey that produces detailed data releases on a regular basis. It replaces the Decennial Census "long form" in an effort to provide communities with more timely data on how they are changing, thereby equipping them with the information they need to best respond to these changes. Because ACS results are derived from relatively small sample sizes, we recommend that the data be viewed as percentages and that analysis focuses on relative comparisons rather than actual numbers. For actual population and housing totals, we recommend using the 2010 Census data.

The ACS:

  • is sent to a small percentage of our population on a rotating basis;
  • helps determine how more than $300 billion per year is distributed; and
  • informs decisions on policies, programs, and services for communities.

The benefit of the ACS is that we now have annual estimates for detailed variables including education, commuting, and employment by both place of residence and place of work, rather than having to wait for every 10 years. This is accomplished through smaller sample sizes, and different data collection methods and statistical techniques used to develop multi-year estimates. Due to changes in methodology and survey techniques, caution needs to be exercised when comparing ACS results with data from the Decennial Census.

When using ACS data, it is important to understand some key concepts about the sample size, comparability between years, and margins of error. For a description of these concepts and more, please visit the ACS website. For a handbook with all the basics on understanding how to use ACS data, reference "What General Data Users Need to Know". MRCOG recommends the following tips when using the data; (1) Use the Census Bureau's Population Estimates or the Decennial Census, not ACS data, as the source for population, age and race statistics whenever possible, (2) Use ACS proportions rather than the actual numbers, and (3) Always consider the margins of error when using ACS data, particularly for smaller geographies.

Instructions

Each pdf PDF icon leads to a document revealing a social, economic, housing, or demographic profile. Two five-year ACS datasets (2011-2015 and 2006-2010) and two one-year ACS datasets (2015 and 2010) are presented.

5 Year Estimates

  2011-2015 2006-2010
County & Place

Social
Profiles

Economic
Profiles

Housing
Profiles

Demographic
Profiles

Social
Profiles
Economic
Profiles
Housing
Profiles
Demographic
Profiles
Bernalillo County pdf
pdf pdf pdf pdf pdf pdf
Albuquerque pdf
pdf pdf pdf pdf pdf pdf
Los Ranchos de Albuquerque pdf
pdf pdf pdf pdf pdf pdf
Tijeras pdf pdf pdf pdf pdf pdf pdf pdf
Sandoval County pdf pdf pdf pdf pdf pdf pdf pdf
Bernalillo pdf  pdf pdf pdf pdf pdf pdf
Corrales pdf pdf pdf pdf pdf pdf pdf
Cuba pdf pdf pdf pdf pdf pdf pdf
Jemez Springs pdf pdf pdf pdf pdf pdf pdf
Rio Rancho pdf pdf pdf pdf pdf pdf pdf
San Ysidro pdf pdf pdf pdf pdf pdf pdf
Torrance County pdf pdf pdf pdf pdf pdf pdf
Encino pdf pdf pdf pdf pdf pdf pdf
Estancia pdf pdf pdf pdf pdf pdf pdf
Moriarty pdf pdf pdf pdf pdf pdf pdf
Mountainair pdf pdf pdf pdf pdf pdf pdf
Willard pdf pdf pdf pdf pdf pdf pdf
Valencia County pdf pdf pdf pdf pdf pdf pdf
Belen pdf pdf pdf pdf pdf pdf pdf
Peralta pdf pdf pdf pdf pdf pdf pdf
Bosque Farms pdf pdf pdf pdf pdf pdf pdf
Los Lunas pdf pdf pdf pdf pdf pdf pdf
Rio Communities pdf pdf
pdf pdf pdf pdf pdf pdf
Santa Fe County pdf pdf pdf pdf pdf pdf pdf
Edgewood pdf pdf pdf pdf pdf pdf pdf

Click here for frequently asked questions about using the above data.

One Year Estimates

  2015 2010
County and Place Social
Profiles
Economic
Profiles
Housing
Profiles
Demographic
Profiles
Social
Profiles
Economic
Profiles
Housing
Profiles
Demographic
Profiles
Bernalillo County pdf pdf pdf pdf pdf pdf pdf pdf
Sandoval County pdf pdf pdf pdf pdf pdf pdf pdf
Valencia County pdf pdf pdf pdf pdf pdf pdf pdf
Albuquerque pdf pdf pdf pdf pdf pdf pdf pdf
Rio Rancho pdf pdf pdf pdf pdf pdf pdf pdf

Contact: Kendra Montanari (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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