Dataset Overview
Europass Survey
June - September 2019
Description
- Name: demograph_aggregate
- Number of observations: 327,733
- Number of features: 21
- Description: This dataset describes aggregate demographic statistics for the Europass Survey respondents. The values of some of its features derive directly from the Europass CV creation form fields, while others are a result of data analysis upon the given responses. Certain features are simple statistics, while others are mappings of free text to standardized taxonomies made using fuzzy matching techniques.
- Sources: Europass Survey: June - September 2019
- Download
| Feature | Name | Description | Form1 | Stat2 | Text3 | |
|---|---|---|---|---|---|---|
| locale | CV Language | Language used to write CV. | ● |
|
||
| country | Country | Country of residence. | ● |
|
||
| birth_year | Birth Year | Year of birth. | ● |
|
||
| gender | Gender | Female, male or missing value. | ● |
|
||
| nationality | Nationality | Nationality. | ● |
|
||
| mother_tongue | Mother Tongue | Native language. | ● |
|
||
| headline_job | Headline Job | Job-related type of application. | ● |
|
||
| headline_isco | Headline ISCO 3 | ISCO level 3 classification for job declared in the type of application. | ● | ● |
|
|
| latest_job_esco | Latest Job ESCO | ESCO classification for latest job declared. | ● | ● |
|
|
| latest_job_isco | Latest Job ISCO 3 | ISCO level 3 classification for latest job declared. | ● | ● |
|
|
| is_employed | Employment Status | Estimation of employment status based on recruitment and termination year. | ● |
|
||
| num_jobs | Number of Jobs | Number of jobs declared. | ● |
|
||
| total_work_years | Total Work Years | Sum of all work years. | ● |
|
||
| min_work_years | Min Work Years | Minimum number of years remaining in a job. | ● |
|
||
| max_work_years | Max Work Years | Maximum number of years remaining in a job. | ● |
|
||
| mean_work_years | Mean Work Years | Average number of years remaining in a job. | ● |
|
||
| eqf_completed | EQF Completed | Highest qualification completed with respect to EQF level (excluding ongoing). | ● | ● |
|
|
| eqf_highest | EQF Highest | Highest qualification reported with respect to EQF level (including ongoing). | ● | ● |
|
|
| is_student | Student Status | Estimation of student status based on enrollment and graduation year. | ● |
|
||
| studied_abroad | Studied Abroad | Estimation of whether or not at least one qualification was granted outside country of origin. | ● |
|
||
| respondents | Respondents | Number of respondents with a particular combination of values for the above variables. | ● |
|
||
| 1 Variable derives directly from a Europass CV; | ||||||
| 2 Variable is a statistical transformation of one or more Europass CV variables; | ||||||
| 3 Variable is a result of information retrieval using text mining |
Summary Statistics
locale
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 29 |
| * SkillsPassport.Locale missing. |
country
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 13008 ( 3.97% ) |
| Number of unique values | 185 |
| * SkillsPassport…Country.Code missing. |
birth_year
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 128709 ( 39.27% ) |
| Number of unique values | 84 |
| * SkillsPassport…Birthdate.Year missing. |
gender
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 149959 ( 45.76% ) |
| Number of unique values | 3 |
| * SkillsPassport…Gender.Code missing. |
nationality
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 162649 ( 49.63% ) |
| Number of unique values | 171 |
| * SkillsPassport…Nationality.Code missing. |
mother_tongue
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 63005 ( 19.22% ) |
| Number of unique values | 63 |
| * Skills.Linguistic.MotherTongue.Description missing. |
headline_job
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 200192 ( 61.08% ) |
| Number of unique values | 4 |
| * SkillsPassport…Headline.Type.Code missing. |
headline_isco
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 222153 ( 67.78% ) |
| Number of unique values | 126 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
latest_job_esco
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 60425 ( 18.44% ) |
| Number of unique values | 2865 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
latest_job_isco
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 60425 ( 18.44% ) |
| Number of unique values | 126 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
is_employed
| Feature | Result |
|---|---|
| Variable type | logical |
| Number of missing values* | 24110 ( 7.36% ) |
| Number of unique values | 3 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
num_jobs
| Feature | Result |
|---|---|
| Variable type | integer |
| Number of missing values* | 24110 ( 7.36% ) |
| Number of unique values | 14 |
| Min. | 1 |
| 1st Qu. | 2 |
| Median | 4 |
| Mean | 4.22 |
| 3rd Qu. | 6 |
| Max. | 13 |
| NA’s | 24110 |
| * No work experience entries filled. |
total_work_years
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing values* | 33008 ( 10.07% ) |
| Number of unique values | 173 |
| Min. | 1 |
| 1st Qu. | 3 |
| Median | 6 |
| Mean | 9.41 |
| 3rd Qu. | 12 |
| Max. | 312 |
| NA’s | 33008 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
min_work_years
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing values* | 33008 ( 10.07% ) |
| Number of unique values | 52 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 1 |
| Mean | 1.64 |
| 3rd Qu. | 1 |
| Max. | 55 |
| NA’s | 33008 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
max_work_years
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing values* | 33008 ( 10.07% ) |
| Number of unique values | 54 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 3 |
| Mean | 4.43 |
| 3rd Qu. | 6 |
| Max. | 57 |
| NA’s | 33008 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
mean_work_years
| Feature | Result |
|---|---|
| Variable type | numeric |
| Number of missing values* | 33008 ( 10.07% ) |
| Number of unique values | 246 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 1.5 |
| Mean | 2.56 |
| 3rd Qu. | 2.8 |
| Max. | 55 |
| NA’s | 33008 |
|
* No work experience entries filled, or both WorkExperien ce.Period.From.Year and WorkExperience.Period.To.Year m issing. |
eqf_completed
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 89124 ( 27.19% ) |
| Number of unique values | 9 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
eqf_highest
| Feature | Result |
|---|---|
| Variable type | character (nominal) |
| Number of missing values* | 99148 ( 30.25% ) |
| Number of unique values | 9 |
|
* Missing features required for estimation, or unidentifi ed from classification algorithm. |
is_student
| Feature | Result |
|---|---|
| Variable type | logical |
| Number of missing values* | 16917 ( 5.16% ) |
| Number of unique values | 3 |
|
* No education entries filled, or both Education.Period.F rom.Year and Education.Period.To.Year missing. |
studied_abroad
| Feature | Result |
|---|---|
| Variable type | logical |
| Number of missing values* | 196638 ( 60.00% ) |
| Number of unique values | 3 |
|
* No education entries filled, or SkillsPassport…Nation ality.Code missing, or Education.Organisation…Country .Code missing from all entries. |
respondents
| Feature | Result |
|---|---|
| Variable type | integer |
| Number of missing values* | 0 ( 0.00% ) |
| Number of unique values | 88 |
| Min. | 1 |
| 1st Qu. | 1 |
| Median | 1 |
| Mean | 1.08 |
| 3rd Qu. | 1 |
| Max. | 401 |
| * No missing values permitted. |
