SURFIncomeSurvey_200: SURF Income Survey
In iNZightVIT/iNZight: A GUI for Data Exploration and Visualisation
SURFIncomeSurvey_200 R Documentation
SURF Income Survey
Description
The NZIS is run annually during the June quarter (April to June),
as a supplement to the Household Labour Force Survey (HLFS).
All respondents in the HLFS were asked to participate in the NZIS,
which provides a snapshot of income levels for people and households.
NZIS data gives average weekly income for the June quarter from most sources,
including government transfers, investments, self-employment, and wages and salaries.
Usage
SURFIncomeSurvey_200
Format
A data frame with 200 rows and 8 variables:
- Personid
a random unique ID number for each record in the Super SURF
- Gender
male and female
- Qualification
five categories
- Age
25 to 64 years in 5-year age bands
- Hours
total usual weekly hours worked from all wages and salary jobs
- Income
total usual weekly income from all sources
- Marital
marital status
- Ethnicity
six categories
Details
This is a subset of that data.
Source
Licensed under Creative Commons 4.0 by Stats NZ,
https://www.stats.govt.nz/services/customised-data-services/statistics-for-university-staff-and-students/new-zealand-income-survey-super-surf/
iNZightVIT/iNZight documentation built on April 8, 2024, 10:23 a.m.
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| SURFIncomeSurvey_200 | R Documentation |
SURF Income Survey
Description
The NZIS is run annually during the June quarter (April to June), as a supplement to the Household Labour Force Survey (HLFS). All respondents in the HLFS were asked to participate in the NZIS, which provides a snapshot of income levels for people and households. NZIS data gives average weekly income for the June quarter from most sources, including government transfers, investments, self-employment, and wages and salaries.
Usage
SURFIncomeSurvey_200
Format
A data frame with 200 rows and 8 variables:
- Personid
a random unique ID number for each record in the Super SURF
- Gender
male and female
- Qualification
five categories
- Age
25 to 64 years in 5-year age bands
- Hours
total usual weekly hours worked from all wages and salary jobs
- Income
total usual weekly income from all sources
- Marital
marital status
- Ethnicity
six categories
Details
This is a subset of that data.
Source
Licensed under Creative Commons 4.0 by Stats NZ, https://www.stats.govt.nz/services/customised-data-services/statistics-for-university-staff-and-students/new-zealand-income-survey-super-surf/
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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