2.1.31. Earnings, number of employees – national economy total*(1/2)

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Period Full-time employees Number of employees
gross earnings net earningsa
HUF corresponding period of the previous year = 100.0% HUF corresponding period of the previous year = 100.0% thousands corresponding period of the previous year = 100.0%
Monthly data
2015 J 235 869 103.9 154 495 103.9 2 849.9 101.9
F 234 397 103.4 153 531 103.4 2 854.7 101.8
M 248 175 105.2 162 556 105.2 2 841.7 100.5
A 248 424 103.7 162 719 103.7 2 874.4 101.2
My 247 458 101.5 162 086 101.5 2 880.2 105.2
Ju 245 896 103.7 161 063 103.7 2 903.0 103.5
Jl 244 441 103.2 160 110 103.2 2 923.6 102.9
Au 241 635 105.4 158 272 105.4 2 930.4 102.7
S 241 621 105.2 158 263 105.2 2 921.8 102.0
O 248 853 104.8 163 000 104.8 2 927.9 103.2
N 264 233 105.2 173 074 105.2 2 918.0 103.2
D 273 350 106.0 179 045 106.0 2 912.9 102.4
2016 J 248 969 105.6 165 565 107.2 2 946.0 103.4
F 248 250 105.9 165 087 107.5 2 954.8 103.5
M 264 318 106.5 175 772 108.1 2 937.9 103.4
A 264 471 106.5 175 874 108.1 2 987.2 103.9
My 262 136 105.9 174 322 107.5 2 994.1 104.0
Ju 259 875 105.7 172 818 107.3 2 993.4 103.1
Jl 256 881 105.1 170 826 106.7 3 001.1 102.6
Au 258 260 106.9 171 744 108.5 2 995.4 102.2
S 257 857 106.7 171 475 108.3 2 989.4 102.3
O 262 244 105.4 174 393 107.0 2 980.4 101.8
N 285 772 108.2 190 039 109.8 2 985.5 102.3
D 288 801 105.7 192 053 107.3 2 969.5 101.9
2017 J 273 290 109.8 181 738 109.8 3 039.2 103.2
F 274 170 110.4 182 323 110.4 3 035.2 102.7
M 298 276 112.8 198 353 112.8 3 004.5 102.3
A 303 011 114.6 201 502 114.6 3 025.5 101.3
My 296 063 112.9 196 882 112.9 3 034.3 101.3
Ju 297 251 114.4 197 672 114.4 3 034.6 101.4
Jl 290 450 113.1 193 149 113.1 3 027.7 100.9
Au 292 440 113.2 194 472 113.2 3 036.9 101.4
S 292 944 113.6 194 808 113.6 3 028.5 101.3
O 295 836 112.8 196 731 112.8 3 013.5 101.1
N 322 955 113.0 214 764 113.0 3 016.6 101.0
D 327 713 113.5 217 929 113.5 3 026.2 101.9
2018 J 310 817 113.8 206 692 113.8 3 117.1 101.2
F 306 507 111.9 203 826 111.9 3 115.4 101.4
M 331 505 111.3 220 453 111.3 3 111.8 102.2
A 340 559 112.6 226 472 112.6 3 120.0 101.7
My 327 486 110.9 217 778 110.9 3 123.4 101.4
Ju 329 576 111.2 219 167 111.2 3 125.5 101.2
Jl 326 724 112.8 217 271 112.8 3 124.7 100.7
Au 321 172 110.1 213 579 110.1 3 118.7 100.8
S 322 752 110.4 214 630 110.4 3 105.7 100.7
O 327 089 110.8 217 514 110.8 3 112.7 100.9
N 355 099 110.4 236 140 110.4 3 119.4 101.4
D 359 978 110.2 239 385 110.2 3 107.6 100.8
2019 J 343 469 110.6 228 407 110.6 3 176.4 100.7
F 345 860 112.1 229 997 112.1 3 188.1 101.5
M 367 160 110.2 244 161 110.2 3 176.4 100.9
A 371 131 109.0 246 802 109.0 3 193.9 100.8
My 364 354 111.2 242 296 111.2 3 190.2 100.5
Ju 364 799 110.6 242 591 110.6 3 178.6 100.2
Jl
Au
S
O
N
D
Monthly cumulative data
2019 J–J 343 469 110.6 228 407 110.6 3 176.4 100.7
J–F 344 667 111.4 229 203 111.4 3 182.2 101.1
J–M 352 151 111.0 234 181 111.0 3 180.3 101.0
J–A 356 909 110.4 237 344 110.4 3 183.7 101.0
J–My 358 399 110.6 238 336 110.6 3 185.0 100.9
J–Ju 359 464 110.6 239 043 110.6 3 183.9 100.8
J–Jl
J–Au
J–S
J–O
J–N
J–D
Quarterly cumulative data
2015 Q1 239 470 104.2 156 854 104.2 2 848.8 101.4
Q1–Q2 243 393 103.6 159 423 103.6 2 867.3 102.3
Q1–Q3 243 112 103.9 159 240 103.9 2 886.6 102.4
Q1–Q4 247 924 104.3 162 391 104.3 2 894.9 102.5
2016 Q1 253 831 106.0 168 798 107.6 2 946.2 103.4
Q1–Q2 258 030 106.0 171 590 107.6 2 968.9 103.5
Q1–Q3 257 908 106.1 171 509 107.7 2 977.7 103.2
Q1–Q4 263 171 106.2 175 009 107.8 2 977.9 102.9
2017 Q1 281 851 111.0 187 430 111.0 3 026.3 102.7
Q1–Q2 290 323 112.5 193 064 112.5 3 028.9 102.0
Q1–Q3 290 864 112.8 193 424 112.8 3 029.6 101.7
Q1–Q4 297 017 112.9 197 516 112.9 3 026.9 101.6
2018 Q1 316 268 112.4 210 318 112.4 3 114.8 101.6
Q1–Q2 324 414 111.9 215 735 111.9 3 118.9 101.5
Q1–Q3 324 126 111.7 215 544 111.7 3 118.0 101.3
Q1–Q4 329 943 111.3 219 412 111.3 3 116.8 101.2
2019 Q1 352 151 111.0 234 181 111.0 3 180.3 101.0
Q1–Q2 359 464 110.6 239 043 110.6 3 183.9 100.8
Q1–Q3
Q1–Q4
*Data of enterprises with at least 5 employees, budgetary institutions on a full scope basis and non-profit organisations which are significant in respect of employment. Source of data: until 2018 the monthly institutional labour data collection system, as of 2019 data taken over from the National Tax and Customs Administration and the Hungarian State Treasury.  aCalculated without tax benefits.  Preliminary data 

© Hungarian Central Statistical Office, 2011