Population in relation to activity
- Name of the operation.
- Survey on the population in relation to activity
- Operation Code.
- 050403 (Basque Statistics Plan)
- Responsible body.
- Type of operation.
- Survey by sampling
- Methodology according to the origin of the data.
- Direct collection of primary data by sampling
The most important objectives of the operation are:
To provide continuous statistical information on the volume and characteristics of the main groups in which the population of the Basque Country may be classified according to their participation in the different economic activities, in addition to changes in situation.
To provide statistical information on the main demographic and social characteristics of the population, as well as the degree of participation in non economically productive activities.
- The population referred to in the operation: group of persons that live in family housing used all year round or most of the year as the habitual residence.
- Geographic scope:
- The territorial area referred to in the operation: Basque Country. The maximum level of disaggregation is each of the Provinces.
- Date or period to which the data included in the statistic refers to: Reference data is quarterly: the average point of the natural quarter. Annual reference data: the average point in the natural year.
Concepts and Definitions
Concepts and Definitions
The Survey on population in relation to activity (PRA) is based on a panel of households with a quarterly rotation of 1/8, so that the dwellings remain in the survey for 2 years.
It is a sample of dwellings in one stage, stratified into 20 regions plus the 3 provincial capitals. The sample size is 6,344 dwellings per quarter: 1,456 dwellings in Álava, 2,702 in Bizkaia and 2,186 in Gipuzkoa, which is equivalent to a total of around 15,000 individuals.
The sample selection is probabilistic and balanced with the CUBE Method (Deville and Tillé, 2004) in each round of rotation, thereby obtaining 8 equivalent samples. This method intuitively maintains the proportions of the original population in the sample in balancing variables, taking the probabilities of inclusion of the design into account.
The balancing variables are those relating to the study variables: the distributions of the population within the regions and provincial capitals by age and sex, family size, presence in administrative employment and unemployment registers, and nationality.
Calculation of sampling errors.
- Printed publication:
- Statistics Gazette
Other ways of disseminating the data annually.