Introduction to IPUMS
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1 Introduction to IPUMS Katie Genadek Minnesota Population Center University of Minnesota The IPUMS projects are funded by the National Science Foundation and the National Institutes of Health
2 Outline Microdata IPUMS IPUMS-USA Obtaining data Hands on research questions
3 MICRODATA
4 Microdata versus Summary Data Microdata Shows full range of responses for individuals Enable custom tables and sophisticated analyses Suppression: geography, truncation, and item level suppression Summary Data Premade or published tables of aggregate characteristics Enable examination of small geographic areas Suppression: limited content, grouped intervals, and cell suppression
5 Relation to head Microdata Marital status Literacy Occupation
6 Benefits of Using Microdata More detailed information than published tables Easy to explore various topics Answer specific questions Can look at change over time Run person or household level analyses Nationally representative
7 Microdata looks hard to use Not with IPUMS! IPUMS-USA is a project dedicated to collecting and distributing United States census data. Its goals are to: Collect and preserve data and documentation Harmonize data Disseminate the data absolutely free!
8 What is IPUMS? Integrated - consistent codes, labels, and documentation Public Use - anonymized, downloadable Microdata - individual-level Series - pooled data over time and place
9 What the IPUMS project does: Standardizes data across years (integration) Provides excellent documentation Provides bonus calculated fields Provides data in multiple formats Makes data freely available online Provides user support
10 IPUMS-USA
11
12 IPUMS-USA Database includes public use microdata samples: U.S. decennial censuses ( ) Complete-count dataset for 1880 Linked Samples Complete-count dataset for 1940 Samples from Puerto Rico ( ) American Community Survey ( )
13 The American Community Survey Microdata samples: Full survey responses for 1% of US population Suppression for confidentiality Names, addresses Income top coding Geographic limitations Yearly samples, multi-year samples Rolling sample design
14 ACS Samples Year Sample Density Number of Persons in Dataset in , in 230 1,200, in 260 1,075, in 230 1,200, in 240 1,194, in 100 ~3,000,000
15 ACS Micdrodata Geography Public Use Microdata Areas (PUMAs) Comprised of approximately 100,000 persons Boundaries do not always align with jurisdictional boundaries Detailed contents and maps available GIS shape files for PUMAs available IPUMS create other geographic areas when possible
16
17 Enhancements to the Data Integrated Variables Geographic Areas Consistent industrial and occupation coding schemes Constructed family interrelationship variables Bonus variables
18 Obtaining Data: DATA DISCOVERY
19 Documentation Sample Descriptions Variable Availability Grid Variable Descriptions Availability by Sample Universes Comparability Allocation and Imputation Flags Questions and Instructions to Respondents Instructions to Enumerators
20 Obtaining Data: DATA EXTRACTION
21 Online Extraction System Users create custom data files Pick any samples of interest Pick any variables of interest Creates custom syntax for reading the data files into SPSS, Stata, SAS, and CSV Labels variables and values within the data Custom codebook created
22 Online Extraction System Additional Features: Case Selection Attach Variables Custom Sample Size Record of extract is preserved on user account
23 Online Analysis System High-speed tabulation software Allows for analysis of microdata without statistical package All analysis performed online Can analyze multiple years of data Help guides on webpage
24 Obtaining Data: USING MPC DATA
25 Video Tutorials
26 Using MPC data Data Questions User forum ( IPUMS user support Data Errors Get an IPUMS mug! Cite the data check homepages for citation information Enter your work in our bibliography IPUMS Research Award
27 Analyzing IPUMS Data Three research questions Extra hands-on workshop exercises: z.umn.edu/popdatatraining
28 Example research questions, methods, answers Research Question: In the DC metro area in 2013, how many people biked to work? Can we identify the DC metro area? What information on commuting is in the ACS? Who is in the universe for the commuting questions?
29 Example research questions, methods, answers Research Question: How did the racial composition of Maryland changed between ? What is the state code for Maryland? How was race measured in each year? How can we compare race over time?
30 Example research questions, methods, answers Research Question: What percent of children in the Baltimore area live with parents that do not speak English? What is the code for the Baltimore metro area? What variable indicates language spoken? How can I look at parents outcomes for children?
31
32 Questions us IPUMS User Support Contact: Katie Genadek
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