Sponsors U. This document steps you through the process of making the fields GEOID10 in each data set identical so that the join will be successful. Once you get into the how-to document mentioned above, you'll learn how to convert existing GEOID fields into the format required for the join.
I noted that the tutorial uses Excel and I found that Calc does the "text to column" operation as well. You'll find it under the "data" menu item. Make sure that you use a capital "S" as the separator and it should work just fine. One problem. I found that it would not make the join until I went back into Calc and reformatted the new GEOID column's cells as "text" and made sure it was aligned "left.
This document provides some background on what census data are and provides some tips for GSD students and faculty on how to get census data. Census Blocks In urban areas, census blocks conform approximately to what we think of as city blocks.
At this fine level of geography, the census only releases a subset of the data short-form questionaire.
Block Groups These areas are supposed to contain approximately people, but the actual count of people per block group varies widely. All of the short and long-form data is summarized at the block-group and tract level. Tracts Tracts are larger than block groups. The US Bureau of the Census is responsible for collecting information used to redetermine allotments of governmental resources including congressional representatives and education funding.
The constitution of the U. This Percent Survey collects information on numbers of persons by age, gender, and ethnicity and for each household according to household composition and housing tenure.
Between the years and , the census bureau also sent out a long form to a smaller sample of households 1 in 6. This long form survey collected information on hundreds of variables including Income, Occupation, Housing Stock, Rent and Mortgage, Commuting behavior and many others.
This long form survey was unfortunately discontinued for the census and replaced with the American Community Survey which is collected every year but with a much smaller sample size less than two percent of the population. It is aggregated to the Block level and includes information about the occupancy status of housing units and about race. This is the most succinct summary of the census at a block level. Are there other ways of obtaining this data? Once you have the data joined through a common field you can start examining the relationships between the data.
The American Factfinder is going to be the most comprehensive source for downloading current US Census data. It's also going to include the identifiers that you need to join the attributes to the census geography by default; you can download the geography files from the Census TIGER shapefiles site.
To use the Factfinder, select the Advanced Search option. By default you get everything and the kitchen sink, so it's best to apply filters to narrow down your choices. Under Topics select Dataset and choose the one you're interested in.
If you need basic demographic variables that represent counts, use the Census. If you need a wider range of socio-economic variables, then choose the latest estimates from the American Community Survey ACS.
With state-level data you can get away with using the 1-year estimates. For geographies that have smaller populations use a longer period estimate - i. If you needed data for every county both urban and rural , you'd also use 5-year numbers so that you can capture every county. Once you've filtered by dataset, filter again by geography. Use the Name tab to select all states within the US, then filter down by more geography if needed.
Once you have the dataset and geography narrowed down, then you can either use more filters to drill down by topic, or you can start keyword searching. When you go to download the data as a CSV, make sure to choose the option to include annotations in separate files, so that footnotes won't get mixed into your data. Once you download the CSV, always import it into whatever package you're using spreadsheet, stats package etc and declare the GEOID columns as text; some IDs will have leading zeros that would be dropped if they were saved as numbers which renders them useless.
For this tutorial we will select Census Tract from the Select a geographic type dropdown menu. We will select New York from the Select a state dropdown menu. Next click Add To Your Selections at the bottom of the dialog box. The geography will now be applied to your search and added to the Your Selections box on the top left side of the page. You can then close the Select Geographies dialog box.
The data available for the selected geography will be displayed as a list under Search Results. You can narrow your search from your selected geographies using the Topics tab on the left side of the page. Click Topics at the left opening the Select Topics dialog box. Once the dialog box opens, you can expand the topics to browse available datasets.
For this tutorial we will expand the Housing topic, browse within Financial Characteristic , and select Gross Rent. Once you click on the topic it will be added to Your Selections. Then you may close the dialog box and return to the Search Results. The list will now be updated to include the filters for both your selected Geographies and Topics. To preview the content of each Table, File, or Document Title, you can click on the About icon on the right side of the list, with the i for information icon.
An example of the data included will be previewed in a new window. Once you find the dataset you wish to download, click on the dataset of interest. In this tutorial we will select Gross Rent also called table B This opens a new window with a detailed preview of the dataset. Here you can download the data using the Download button on the Actions panel. Click on the Download button opening the Download dialog box. In the Download dialog box choose the Data and annotations in a single file option and check the box Include descriptive data element names if you wish to include a description of each variable in the dataset.
The dataset will be downloaded as a packaged zip file. You can now open your downloaded.
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