Population and Economic Analysis Flashcards
What’s the difference between a CBSA and a Metropolitan Statistical Area?
A Core Based Statistical Area (CBSA) has a core area of at least 10,000 population, whereas a Metropolitan Statistical Area (MSA) has a core of at least 50,000.
Both consist of the core and surrounding communities.
What is the optimum size of a census tract?
4,000
in practice, they range from 1,200 to 8,000
Core Based Statistical Area (CBSA)
core + adjacent communities
not strict definition of an urban area, but an administrative area
collections of counties consisting of a core county (with a major city) and adjacent counties that are related in terms of employment, commuting, etc.
What is the Hierarchy of Census Geographic Entities?
- Nation (zip code tabulation areas, urban areas, CBSAs)
- Regions
- Divisions
- States (school districts, congressional districts, urban growth areas, state legislative districts, public use microdata areas, places)
- Counties (voting districts, traffic analysis zones, county subdivisions - subminor civil divisions)
- Census Tracts
- Block Groups
- Census Blocks (AIANNH Areas: American Indian, Alaska native, native Hawaiian areas)
Combined Statistical Areas
When core based statistical areas are large enough so that the urban metropolitan areas run into each other, they are combined and become megapolitan areas
Metropolitan and Micropolitan Statistical Areas
core + surrounding counties
Metro - core county has a population of at least 50,000
Micro - core county has 10,000-50,000
surrounding counties added when employment and commuting relate them.
Principle City
Metro/micropolitan
Urban areas can have multiple incorporated ares, principle city is the largest in a CBSA, but there can be several principle cities.
Blocks
are small in area; a block in a city is bounded on all sides by streets
usually only have counts of people by ethnicity and age group
Block groups
are statistical divisions of census tracts; they generally contain 600-3,000 people, and are used to present data and control block numbering
Census Tracts
generally have population size between 1,200-8,000 people with an optimum size of 4,000 people.
has most information at city level - population, household information and economic information.
what is the main purpose of the census?
main purpose of the census is to define the electoral districts to find congress representatives
American Community Survey (ACS)
A rolling survey done every year, but with a different group of people.
replace the long-form of the census that was used to collect socio-economic data.
how do you gain statistical reliability from ACS data?
Take an average, typically 5 years
what are the key population drivers?
natural change: births - deaths
net migration: inmigration - outmigration
step-down method
aka ratio method
compares the population of a smaller entity to that of a larger entity and assumes the share remains the same.
takes an estimate for a larger area and uses a proportion or ratio to estimate the amount for a smaller area.
auxiliary data can be used to adjust the estimate (utility hookups, drivers licenses, etc.)
Population pyramid
uses to show sex and age and characterize whether the community is aging and young. implications for things like social services, retirement, medicare, daycares, schools etc.
total fertility rate (TFR)
a measure of the degree to which the population replaces itself.
number of births / female population of child bearing age
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crude birth rate
total number of births / population
death rate
number of deaths / total population
What is the typical replacement rate?
2.1
trend extrapolation
Take the past and project it into the future as if it would continue indefinitely
Linear model: Pop(t) = a + bt
Exponential: Pop(t) = pop(0).e^bt
Gompertz: Pop(t) = K.e^(-ln(K/Pop0)e^(-ct))
ratio method
take a projection from a different area, typically a larger area, and then scale it down to a smaller area
Cohort survival
Fundamental Population Equation
Pop(t+1) = Pop(t) + Births(t to t+1) - Deaths(t to t+1) + Net migration (t to t+1)
each cohort is an age group. applies a survival rate to each cohort and a birth rate to each parent-aged cohort and then adds the net migration to get the population at the end of a time period. The population at the end of the time period (10 years) becomes the population at the beginning of the next time period (20 years).