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Table 10 Selected 2014 and 2018 wage percentiles and wage percentile ratios for VSE and SIAB

From: A tale of two data sets: comparing German administrative and survey data using wage inequality as an example

Data set

VSE

SIAB

Wage measure

GMW

GMW

GMW2

GMW3

GMW4

GMW5

Percentiles

Year 2014

P10

396

395

407

397

407

397

P50

2269

2355

2400

2388

2402

2390

P90

4707

5109

5153

5127

5157

5130

Percentile ratios

Year 2014

P90/P10

11.89

12.95

12.66

12.92

12.67

12.92

P50/P10

5.73

5.97

5.90

6.02

5.90

6.02

P90/P50

2.07

2.17

2.15

2.15

2.15

2.15

Percentiles

Year 2018

P10

438

448

458

444

458

444

P50

2500

2621

2670

2659

2672

2661

P90

5151

5633

5680

5648

5683

5651

Percentile ratios

Year 2018

P90/P10

11.76

12.57

12.39

12.73

12.40

12.74

P50/P10

5.71

5.85

5.82

5.99

5.83

6.00

P90/P50

2.06

2.15

2.24

2.12

2.13

2.12

  1. VSE: Structure of Earnings Survey. GMW: gross nominal monthly wage in April. Total without apprentices. Economic sections A-S of the Classification of economic activities. Thus, not considered is employment in sectors T (Private households with employed persons) and U (Extraterritorial organizations and bodies). Source: Statistisches Bundesamt (2016, 2020)
  2. SIAB: Sample of Integrated Labour Market Biographies (SIAB 7519, own calculations). GMW: gross nominal wage (SIAB-Comparable 1); GMW2: gross nominal wage (SIAB-Comparable 1) but workers must work entire month (as in VSE); GMW3: gross nominal wage in April and workers must work entire month (as in VSE); GMW4: gross nominal wage (SIAB-Comparable 1) but workers must work entire month (as in VSE), not considering sectors T and U (as in VSE); GMW5: gross nominal wage in April and workers must work entire month (as in VSE), not considering sectors T and U (as in VSE)
  3. All wages in euro