[DSD_EARNINGS@AGE_WAGE_GAP] Wage gap by age
Updated by provider on July 6, 2025 (4:25 PM).
This dataset contains age wage gaps defined as the difference between mean (median) earnings of 25-54 year-olds and that of 15-24 year-olds (respectively 55-64 year-olds) relative to mean (median) earnings of 25-54 year-olds. Earnings refer to gross earnings of full-time dependent employees unless otherwise indicated.
[REF_AREA] Reference area
[ARG] Argentina
[AUS] Australia
[AUT] Austria
[BEL] Belgium
[BGR] Bulgaria
[BRA] Brazil
[CAN] Canada
[CHE] Switzerland
[CHL] Chile
[COL] Colombia
[CRI] Costa Rica
[CYP] Cyprus
[CZE] Czechia
[DEU] Germany
[DNK] Denmark
[ESP] Spain
[EST] Estonia
[FIN] Finland
[FRA] France
[GBR] United Kingdom
[GRC] Greece
[HRV] Croatia
[HUN] Hungary
[IRL] Ireland
[ISL] Iceland
[ISR] Israel
[ITA] Italy
[JPN] Japan
[KOR] Korea
[LTU] Lithuania
[LUX] Luxembourg
[LVA] Latvia
[MEX] Mexico
[MLT] Malta
[NLD] Netherlands
[NOR] Norway
[NZL] New Zealand
[PER] Peru
[POL] Poland
[PRT] Portugal
[ROU] Romania
[SVK] Slovak Republic
[SVN] Slovenia
[SWE] Sweden
[TUR] Türkiye
[USA] United States
[MEASURE] Measure
[S_PA_WP] Senior to prime-age wage gap
[Y_PA_WP] Youth to prime-age wage gap
[UNIT_MEASURE] Unit of measure
[PT_WG_SAL_PA] Percentage of prime-age employees wage
[PAY_PERIOD] Pay period
[_Z] Not applicable
[PRICE_BASE] Price base
[_Z] Not applicable
[AGGREGATION_OPERATION] Aggregation operation
[MEAN] Mean
[MEDIAN] Median
[SEX] Sex
[F] Female
[M] Male
[_T] Total
Search filters
Reference area [REF_AREA] (46)
Measure [MEASURE] (2)
Unit of measure [UNIT_MEASURE] (1)
Pay period [PAY_PERIOD] (1)
Price base [PRICE_BASE] (1)
Aggregation operation [AGGREGATION_OPERATION] (2)
Sex [SEX] (3)
This dataset has 514 series:
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Female
- from
- 2017=-10.327
- to
- 2024=-3.241
- min:
- -12.499
- max:
- -2.836
- avg:
- -7.325
- σ:
- 3.237
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Male
- from
- 2017=-16.703
- to
- 2024=-6.167
- min:
- -18.053
- max:
- -5.543
- avg:
- -11.532
- σ:
- 4.592
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Total
- from
- 2017=-14.162
- to
- 2024=-6.024
- min:
- -14.162
- max:
- -6.024
- avg:
- -10.149
- σ:
- 3.112
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Female
- from
- 2017=-7.692
- to
- 2024=0
- min:
- -13.333
- max:
- 8.696
- avg:
- -3.48
- σ:
- 6.599
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.M] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Male
- from
- 2017=-6.667
- to
- 2024=0
- min:
- -16.667
- max:
- 0
- avg:
- -6.541
- σ:
- 5.937
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN._T] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Total
- from
- 2017=-7.143
- to
- 2024=-5.263
- min:
- -12.5
- max:
- 0
- avg:
- -4.502
- σ:
- 4.953
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Female
- from
- 2017=28.509
- to
- 2024=41.998
- min:
- 28.509
- max:
- 47.89
- avg:
- 39.644
- σ:
- 5.592
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Male
- from
- 2017=40.326
- to
- 2024=43.369
- min:
- 38.054
- max:
- 43.369
- avg:
- 40.416
- σ:
- 1.648
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Total
- from
- 2017=36.532
- to
- 2024=42.601
- min:
- 36.52
- max:
- 43.102
- avg:
- 39.87
- σ:
- 2.322
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Female
- from
- 2017=23.077
- to
- 2024=40
- min:
- 23.077
- max:
- 47.034
- avg:
- 36.887
- σ:
- 7.16
Series code | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] | -10.327410519029 | -8.34464591222831 | -2.83634968366773 | -4.84027607728119 | -9.32032823159634 | -12.4993317500351 | -7.18642643002242 | -3.24136923699881 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] | -16.7029237648315 | -18.0526596291828 | -10.2965304754527 | -10.0537724744313 | -8.96114492476577 | -5.54300318992053 | -16.4804264463569 | -6.16715432284367 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] | -14.1622334278442 | -14.0951820458224 | -7.63227711128605 | -8.09044222642186 | -9.25586515867644 | -8.13080467751188 | -13.8000658733991 | -6.02443764891251 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] | -7.69230769230769 | -5.88235294117647 | 8.69565217391304 | 3.44827586206897 | -5.93220338983051 | -7.14285714285714 | -13.3333333333333 | 0 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.M] | -6.66666666666667 | -11.1111111111111 | -12 | -16.6666666666667 | 0 | 0 | -5.88235294117647 | 0 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN._T] | -7.14285714285714 | -11.1111111111111 | 0 | 0 | 0 | 0 | -12.5 | -5.26315789473684 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] | 28.5088537817658 | 33.8941268145634 | 39.1666139736879 | 43.5598554311983 | 47.889963869871 | 41.075462670103 | 41.0594244257148 | 41.9983646481035 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] | 40.326004465015 | 38.0543501674742 | 39.3935113911176 | 38.8266297516131 | 41.8637552931517 | 41.6280633785702 | 39.8706841346918 | 43.3686685690216 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] | 36.532256412639 | 36.5202767850154 | 38.9055489529522 | 39.9293811798633 | 43.1018961201381 | 41.2405023161244 | 40.1267606829601 | 42.6010576457374 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] | 23.0769230769231 | 29.4117647058824 | 34.7826086956522 | 37.9310344827586 | 47.0338983050847 | 42.8571428571429 | 40 | 40 |
Loading chart
Search filters
Reference area [REF_AREA] (46)
Measure [MEASURE] (2)
Unit of measure [UNIT_MEASURE] (1)
Pay period [PAY_PERIOD] (1)
Price base [PRICE_BASE] (1)
Aggregation operation [AGGREGATION_OPERATION] (2)
Sex [SEX] (3)
This dataset has 514 series:
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Female
- from
- 2017=-10.327
- to
- 2024=-3.241
- min:
- -12.499
- max:
- -2.836
- avg:
- -7.325
- σ:
- 3.237
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Male
- from
- 2017=-16.703
- to
- 2024=-6.167
- min:
- -18.053
- max:
- -5.543
- avg:
- -11.532
- σ:
- 4.592
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Total
- from
- 2017=-14.162
- to
- 2024=-6.024
- min:
- -14.162
- max:
- -6.024
- avg:
- -10.149
- σ:
- 3.112
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Female
- from
- 2017=-7.692
- to
- 2024=0
- min:
- -13.333
- max:
- 8.696
- avg:
- -3.48
- σ:
- 6.599
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.M] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Male
- from
- 2017=-6.667
- to
- 2024=0
- min:
- -16.667
- max:
- 0
- avg:
- -6.541
- σ:
- 5.937
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN._T] Argentina – Senior to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Total
- from
- 2017=-7.143
- to
- 2024=-5.263
- min:
- -12.5
- max:
- 0
- avg:
- -4.502
- σ:
- 4.953
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Female
- from
- 2017=28.509
- to
- 2024=41.998
- min:
- 28.509
- max:
- 47.89
- avg:
- 39.644
- σ:
- 5.592
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Male
- from
- 2017=40.326
- to
- 2024=43.369
- min:
- 38.054
- max:
- 43.369
- avg:
- 40.416
- σ:
- 1.648
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Mean – Total
- from
- 2017=36.532
- to
- 2024=42.601
- min:
- 36.52
- max:
- 43.102
- avg:
- 39.87
- σ:
- 2.322
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] Argentina – Youth to prime-age wage gap – Percentage of prime-age employees wage – Not applicable – Not applicable – Median – Female
- from
- 2017=23.077
- to
- 2024=40
- min:
- 23.077
- max:
- 47.034
- avg:
- 36.887
- σ:
- 7.16
Series code | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] | -10.327410519029 | -8.34464591222831 | -2.83634968366773 | -4.84027607728119 | -9.32032823159634 | -12.4993317500351 | -7.18642643002242 | -3.24136923699881 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] | -16.7029237648315 | -18.0526596291828 | -10.2965304754527 | -10.0537724744313 | -8.96114492476577 | -5.54300318992053 | -16.4804264463569 | -6.16715432284367 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] | -14.1622334278442 | -14.0951820458224 | -7.63227711128605 | -8.09044222642186 | -9.25586515867644 | -8.13080467751188 | -13.8000658733991 | -6.02443764891251 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] | -7.69230769230769 | -5.88235294117647 | 8.69565217391304 | 3.44827586206897 | -5.93220338983051 | -7.14285714285714 | -13.3333333333333 | 0 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.M] | -6.66666666666667 | -11.1111111111111 | -12 | -16.6666666666667 | 0 | 0 | -5.88235294117647 | 0 |
[ARG.S_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN._T] | -7.14285714285714 | -11.1111111111111 | 0 | 0 | 0 | 0 | -12.5 | -5.26315789473684 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.F] | 28.5088537817658 | 33.8941268145634 | 39.1666139736879 | 43.5598554311983 | 47.889963869871 | 41.075462670103 | 41.0594244257148 | 41.9983646481035 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN.M] | 40.326004465015 | 38.0543501674742 | 39.3935113911176 | 38.8266297516131 | 41.8637552931517 | 41.6280633785702 | 39.8706841346918 | 43.3686685690216 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEAN._T] | 36.532256412639 | 36.5202767850154 | 38.9055489529522 | 39.9293811798633 | 43.1018961201381 | 41.2405023161244 | 40.1267606829601 | 42.6010576457374 |
[ARG.Y_PA_WP.PT_WG_SAL_PA._Z._Z.MEDIAN.F] | 23.0769230769231 | 29.4117647058824 | 34.7826086956522 | 37.9310344827586 | 47.0338983050847 | 42.8571428571429 | 40 | 40 |
Loading chart