pilot_oa_ext: Pilot simulation (fractional weights) results of health...
In philmikejones/thesis: hrsim: A spatial microsimulation analysis of health inequalities and health resilience

Description Usage Format Source

Data frame of fractional weights from pilot spatial microsimulation for health conditions at ouput area level.

1	pilot_oa_ext

The data frame contains the following variables:

code: Doncaster output area code
total: Simulated total population
sex_female: count by sex
sex_male: count by sex
qual_0: count by highest qualification
qual_2: count by highest qualification
qual_3: count by highest qualification
qual_4_plus: count by highest qualification
qual_other: count by highest qualification
eth_british: count by ethnicity
eth_irish: count by ethnicity
eth_other_white: count by ethnicity
eth_mixed_multiple_ethnic: count by ethnicity
eth_asian_asian_british: count by ethnicity
eth_black_african_caribbean_british: count by ethnicity
eth_other_ethnicity: count by ethnicity
ten_owned_outright: count by tenure
ten_owned_mortgage_shared: count by tenure
ten_rented: count by tenure
car_0: count by car ownership
car_1: count by car ownership
car_2_plus: count by car ownership
age_16_17: count by age
age_18_19: count by age
age_20_24: count by age
age_25_29: count by age
age_30_44: count by age
age_45_59: count by age
age_60_64: count by age
age_65_74: count by age
age_75_84: count by age
age_85_89: count by age
age_90_plus: count by age
llid_no: simulated count with LLID
llid_yes: simulated count with LLID

Spatial microsimulation from 2011 Census Tables from Nomisweb and Understanding Society.

philmikejones/thesis documentation built on May 31, 2019, 2:50 p.m.

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