AIER College Destinations Index 2015-16
Model Documentation
AIER’s College Destinations Index (CDI) defines a college destination as a metropolitan statistical area (MSA) with at least 10,000 enrolled undergraduate and graduate students residing in the MSA in 2013. An MSA is a group of counties with a high degree of economic integration centered on an urban core. In 2013 there were 269 MSAs with at least 10,000 undergraduate and graduate students.
The CDI categorizes the 269 MSAs based on total population in 2013 as measured by the U.S. Census Bureau. Below is a table of the delineations. Table 1: MSA Size The MSAs are ranked within their respective size category and across all MSAs based on an index of seven quality-of-student-life variables and four preparation-for-work variables. Each variable receives the same weight in the index.
Quality-of-Student-Life Variables
1. Cost of rent: Market rent for a two-bedroom apartment.
Classification Total population
Major Metros More than 2.5 million
Midsize Metros 1 million to 2.5 million
Small Metros 250,000 to 999,999
College Towns Less than 250,000
Source: U.S. Department of Housing and Urban Development, Fair Market Rent Documentation System. 2014.
2. City accessibility: Percentage of commuters who walk, bike, and use public transportation. Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.3. Arts and entertainment:
Arts and entertainments establishments per 1,000 residents. Arts and entertainment establishments are defined as performing arts and spectator sports venues. NAICS code 711.
Source: U.S. Census Bureau, Statistics of U.S. Businesses. 2011.4. Culture:
Employees in cultural establishments per 1,000 residents. A cultural establishment is a museum, historical sight, or similar institution. NAICS code 712.
Source: U.S. Census Bureau, Statistics of U.S. Businesses. 2011.
5. Bars and restaurants: Food and drinking establishments per 1,000 residents. NAICS code 722.
Source: U.S. Census Bureau, Statistics of U.S. Businesses. 2011.
6. Diversity: The average percentage of foreign students and non-white students. Non-white is defined as American Indian or Alaska native, Asian, African American, Hispanic, native Hawaiian or other Pacific Islander, two or more races. The MSA with the highest percentage receives a score of 100, while the lowest percentage receives a score of 0.
Source: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System. 2013.
7. Cost of living minus rent: Price index of goods and services excluding rent.
Source: Bureau of Economic Analysis, Real Personal Income for States and Metropolitan Areas, Regional Price Parities. 2013.
Preparation-for-Work Variables
8. Youth unemployment: Unemployment rate for 20- to 24-year-olds.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
9. College educated: Percentage of the population 25- to 64-years-old with a bachelor’s degree or higher.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
10. Economic activity: Four-year average percent change in the number of employed people.
Source: Bureau of Labor Statistics, Local Area Unemployment Statistics. 2010-14.
11. Science, technology, engineering, and math workers (STEM): Number of workers per 1,000 residents. Occupation codes
Source: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System. 2013.
7. Cost of living minus rent: Price index of goods and services excluding rent.
Source: Bureau of Economic Analysis, Real Personal Income for States and Metropolitan Areas, Regional Price Parities. 2013.
Preparation-for-Work Variables
8. Youth unemployment: Unemployment rate for 20- to 24-year-olds.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
9. College educated: Percentage of the population 25- to 64-years-old with a bachelor’s degree or higher.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
10. Economic activity: Four-year average percent change in the number of employed people.
Source: Bureau of Labor Statistics, Local Area Unemployment Statistics. 2010-14.
11. Science, technology, engineering, and math workers (STEM): Number of workers per 1,000 residents. Occupation codes
8. Youth unemployment: Unemployment rate for 20- to 24-year-olds.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
9. College educated: Percentage of the population 25- to 64-years-old with a bachelor’s degree or higher.
Source: U.S. Census Bureau, American Community Survey 1-year Estimate. 2013.
10. Economic activity: Four-year average percent change in the number of employed people.
Source: Bureau of Labor Statistics, Local Area Unemployment Statistics. 2010-14.
11. Science, technology, engineering, and math workers (STEM): Number of workers per 1,000 residents. Occupation codes
Source: Bureau of Labor Statistics, Local Area Unemployment Statistics. 2010-14.
11. Science, technology, engineering, and math workers (STEM): Number of workers per 1,000 residents. Occupation codes
11-3021 Computer and Information Systems Managers
11-9041 Architectural and Engineering Managers
11-9121 Natural Sciences Managers
15-0000 Computer and Mathematical Occupations
17-2011 Aerospace Engineers
17-2021 Agricultural Engineers
17-2031 Biomedical Engineers
17-2041 Chemical Engineers
17-2051 Civil Engineers
17-2061 Computer Hardware Engineers
17-2071 Electrical Engineers
17-2072 Electronics Engineers, Except Computer
17-2081 Environmental Engineers
17-2111 Health and Safety Engineers, Ex. Mining Safety Engineers and Inspectors
17-2112 Industrial Engineers
17-2121 Marine Engineers and Naval Architects
17-2131 Materials Engineers
17-2141 Mechanical Engineers
17-2151 Mining and Geological Engineers, Including Mining Safety Engineers
17-2161 Nuclear Engineers
17-2171 Petroleum Engineers
17-2199 Engineers, All Other
17-3011 Architectural and Civil Drafters
17-3012 Electrical and Electronics Drafters
17-3013 Mechanical Drafters
17-3019 Drafters, All Other
17-3021 Aerospace Engineering and Operations Technicians
17-3022 Civil Engineering Technicians
17-3023 Electrical and Electronics Engineering Technicians
17-3024 Electro-Mechanical Technicians
17-3025 Environmental Engineering Technicians
17-3026 Industrial Engineering Technicians
17-3027 Mechanical Engineering Technicians
17-3029 Engineering Technicians, Except Drafters, All Other
17-3031 Surveying and Mapping Technicians
19-1011 Animal Scientists
19-1012 Food Scientists and Technologists
19-1013 Soil and Plant Scientists
19-1021 Biochemists and Biophysicists
19-1022 Microbiologists
19-1023 Zoologists and Wildlife Biologists
19-1029 Biological Scientists, All Other
19-1031 Conservation Scientists
19-1032 Foresters
19-1041 Epidemiologists
19-1042 Medical Scientists, Except Epidemiologists
19-1099 Life Scientists, All Other
19-2011 Astronomers
19-2012 Physicists
19-2021 Atmospheric and Space Scientists
19-2031 Chemists
19-2032 Materials Scientists
19-2041 Environmental Scientists and Specialists, Including Health
19-2042 Geoscientists, Except Hydrologists and Geographers
19-2043 Hydrologists
19-2099 Physical Scientists, All Other
19-4011 Agricultural and Food Science Technicians
19-4021 Biological Technicians
19-4031 Chemical Technicians
19-4041 Geological and Petroleum Technicians
19-4051 Nuclear Technicians
19-4061 Social Science Research Assistants
19-4091 Environmental Science and Protection Technicians, Including Health
19-4092 Forensic Science Technicians
19-4093 Forest and Conservation Technicians
19-4099 Life, Physical, and Social Science Technicians, All Other
Source: Bureau of Labor Statistics, Occupational Employment Statistics. 2014.
Index Construction
For each variable we calculate the standardized score (z-score) for all 269 MSAs and then again within the four city-size classifications. Cost of rent, cost of living excluding rent, and youth unemployment are inverted to reflect that high costs and high unemployment contribute negatively to the quality of student life and preparation for work. We calculate a separate standardized score for quality of student life and for preparation for work as the average of their respective variable scores.
The calculations are as follows:
For the quality-of-student-life variables X1,..,X7
For the four preparation-for-work variables X8,..,X11
Z-score Xn = (Xi-μi )/σi Where Xi is the ith value of the variable Xn; μi is the mean value of Xn; σi is the standard deviation of Xn.
For the variables cost of rent, cost of living excluding rent, and youth unemployment
Z-score Xn = (Xi-μi )/σi * -1
We calculate a separate standardized score for quality of student life and for preparation for work as the average of their respective variable scores.
Z-score quality of student life = 1/7× ∑_(i=7)^n▒((Xi-μi ))/σi
Z-score preparation for work = 1/4×∑_(i=4)^n▒((Xi-μi ))/σi
CDI score = Z-score quality of student life + Z-score preparation for work
CDI rank, overall = Ordinal rank of CDI score for 269 MSAs
CDI rank, within city = Ordinal rank of CDI score for all MSAs within city classification classifications