us: Understanding Society data set

In philmikejones/thesis: hrsim: A spatial microsimulation analysis of health inequalities and health resilience

Description

Understanding Society data frame

Usage

us

Format

The data frame contains the following variables:

pidp

Unique person ID

f_hidp

f_ household id

e_hidp

e_ household id

d_hidp

d_ household id

c_hidp

c_ household id

b_hidp

b_ household id

a_hidp

a_ household id

region

Government Office Region at latest wave

age_full

Age (individual years)

age

Age at most recent wave, cut into bands to match census tables

sex

Sex at most recent wave

eth_full

Ethnic group

eth_minority

Is respondent White British or minority (TRUE)

eth

Ethnicity, reduced categories to match census

qual

Highest qualification at most recent wave

car

Number of cars at most recent wave

heat

Central heating at most recent wave

ten_full

Tenure at most recent wave

ten

Housing tenure at most recent wave, reduced categories to match census

econ_act

Economic activity

ocrowd

Live in overcrowded house (more than one person per room)?

llid

Limiting long–term illness or disability at most recent wave

srgh

Self–reported general health at most recent wave

class8

Class (NS–SEC 8) at most recent wave

marital

Marital status

couple

Cohabiting as part of a couple (married or otherwise)?

nhood_coh

Neighbourhood cohesion (similar to others in neighbourhood)

nhood_trust

Neighbourhood trust

nhood_belong

Belong to neighbourhood

civic

Civic participation (active in community org)

social_coh

Social cohesion (people get along)

safe_alone

Feel safe going out alone at night

sim_inc

Proportion friends similar income

sim_eth

Proportion friends similar ethnicity

pol_eff

Political efficacy: make a difference

fin_sit

Subjective current financial situation

soc_isol

Socially isolated

ghq_conc

GHQ: concentration

ghq_sleep_loss

GHQ: sleep loss

ghq_useful

GHQ: felt useful

ghq_decision

GHQ: can make decisions

ghq_strain

GHQ: Under strain

ghq_difficult

GHQ: Problems overcoming difficulties

ghq_enjoy

GHQ: enjoy day-to-day activities

ghq_face

GHQ: able to face problems

ghq_unhappy

GHQ: unhappy or depressed

ghq_confidence

GHQ: losing confidence

ghq_selfworth

GHQ: believe worthless

ghq_happiness

GHQ: general happiness

cig

Smoke cigarettes: yes or no

alcohol

Alcohol consumption

bf_dist

Distance to closest friend (<1 mile)

bf_often

Frequency see best friend >1/week

save

Save money?

nkids

Number of children aged <16 in the household (integer)

kids

Number of children aged <16 in the household (factor)

hh_income

Gross household income month before interview (top-coded to £20,000 per month)

cohab

Number of cohabitants (i.e. hhsize - respondent)

depress

Clinical depression

ihd

Ischemic heart disease or stroke (air pollution marker)

prob_pay

Problems paying housing costs (rent/mortgage)

hh_cost

Monthly housing cost (rent/mortgage)

uc_replace

Receives benefit being replaced by Universal Credit (JSA, income support, ESA, tax credits)?

Source

https://discover.ukdataservice.ac.uk/catalogue/?sn=6614\&type=Data%20catalogue

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