tract2221: Observational data on individuals living in census tract 2221
In imputeMulti: Imputation Methods for Multivariate Multinomial Data
tract2221 R Documentation
Observational data on individuals living in census tract 2221
Description
A dataset containing attributes of 3974 individuals living in census tract 2221
in Los Angeles County, CA. Data comes from the 5-year American Community Survey with end year
2014. Missing values have been inserted.
Usage
tract2221
Format
A data.frame with 3974 rows and 10 variables. All variables are of class factor:
- age
The individual's age coded in roughly 5 year age buckets.
- gender
The indiviudals gender – Male, Female
- marital_status
The individuals marital status. Takes one of 5 levels:
never_mar never married; married married; mar_apart married but living apart;
divorced divorced; and widowed widowed
- edu_attain
The individual's educational attainment. Takes one of 7 levels:
lt_hs less than high school; some_hs completed some high school but did not graduate;
hs_grad high school graduate; some_col completed some college but did not graduate;
assoc_dec completed an associates degree; ba_deg obtained a bachelors degree;
grad_deg obtained a graduate or professional degree
- emp_status
The individuals employment status. Takes one of 3 levels:
employed individual is in the labor force and employed;
unemployed individual is in the labor force and unemployed;
not_in_labor_force individual is not in the labor force
- nativity
The individual's nativity status. Takes one of 4 values: born_state_residence
born in the state of residence; born_other_state born in another US state; born_out_us
a US citizen born outside the US; foreigner foreign born
- pov_status
The individual's poverty status in the past year. Takes one of 2 levels:
below_pov_level below the poverty level; at_above_pov_level at or above the poverty level
- geog_mobility
The individual's geographic mobility in the last year. Takes one of 5 values:
same house lived in the same house; same county moved within the same county;
same state moved within the same state; same state moved from a different county
within the same state; diff state moved from a different state; moved from abroad
moved from another country
- ind_income
The individual's annual income. Takes one of 9 levels: no_income no income;
1_lt10k income <$10,000; 10k_lt15k $10000-$14999; 15k_lt25k $15000-$24999;
25k_lt35k $25000-$34999; 35k_lt50k $35000-$49999; 50k_lt65k $50000-$64999;
65k_lt75k $65000-$74999; gt75k $75000+
- race
The individual's ethnicity.
imputeMulti documentation built on March 7, 2023, 8:37 p.m.
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| tract2221 | R Documentation |
Observational data on individuals living in census tract 2221
Description
A dataset containing attributes of 3974 individuals living in census tract 2221 in Los Angeles County, CA. Data comes from the 5-year American Community Survey with end year 2014. Missing values have been inserted.
Usage
tract2221
Format
A data.frame with 3974 rows and 10 variables. All variables are of class factor:
- age
The individual's age coded in roughly 5 year age buckets.
- gender
The indiviudals gender – Male, Female
- marital_status
The individuals marital status. Takes one of 5 levels:
never_marnever married;marriedmarried;mar_apartmarried but living apart;divorceddivorced; andwidowedwidowed- edu_attain
The individual's educational attainment. Takes one of 7 levels:
lt_hsless than high school;some_hscompleted some high school but did not graduate;hs_gradhigh school graduate;some_colcompleted some college but did not graduate;assoc_deccompleted an associates degree;ba_degobtained a bachelors degree;grad_degobtained a graduate or professional degree- emp_status
The individuals employment status. Takes one of 3 levels:
employedindividual is in the labor force and employed;unemployedindividual is in the labor force and unemployed;not_in_labor_forceindividual is not in the labor force- nativity
The individual's nativity status. Takes one of 4 values:
born_state_residenceborn in the state of residence;born_other_stateborn in another US state;born_out_usa US citizen born outside the US;foreignerforeign born- pov_status
The individual's poverty status in the past year. Takes one of 2 levels:
below_pov_levelbelow the poverty level;at_above_pov_levelat or above the poverty level- geog_mobility
The individual's geographic mobility in the last year. Takes one of 5 values:
same houselived in the same house;same countymoved within the same county;same statemoved within the same state;same statemoved from a different county within the same state;diff statemoved from a different state;moved from abroadmoved from another country- ind_income
The individual's annual income. Takes one of 9 levels:
no_incomeno income;1_lt10kincome <$10,000;10k_lt15k$10000-$14999;15k_lt25k$15000-$24999;25k_lt35k$25000-$34999;35k_lt50k$35000-$49999;50k_lt65k$50000-$64999;65k_lt75k$65000-$74999;gt75k$75000+- race
The individual's ethnicity.
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