2.1.32. Earnings, number of employees – enterprises with 5 or more employees*(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 250 480 103.4 164 066 103.4 1 891.1 103.0
F 249 163 103.4 163 203 103.4 1 901.2 103.5
M 267 080 104.0 174 939 104.0 1 906.6 103.1
A 269 587 104.3 176 581 104.3 1 907.3 102.5
My 264 051 102.9 172 955 102.9 1 905.6 102.4
Ju 261 247 104.9 171 119 104.9 1 925.0 102.8
Jl 258 019 103.8 169 004 103.8 1 932.7 102.5
Au 252 652 103.8 165 489 103.8 1 931.2 102.6
S 253 575 104.4 166 093 104.4 1 932.2 102.5
O 258 461 103.9 169 294 103.9 1 935.7 103.0
N 279 693 105.1 183 201 105.1 1 942.4 103.1
D 288 148 103.7 188 738 103.7 1 933.1 103.2
2016 J 262 608 104.8 174 635 106.4 1 959.5 103.6
F 261 963 105.1 174 207 106.7 1 968.1 103.5
M 282 861 105.9 188 103 107.5 1 973.0 103.5
A 283 571 105.2 188 576 106.8 1 984.4 104.0
My 278 796 105.6 185 401 107.2 1 985.1 104.2
Ju 274 209 105.0 182 350 106.6 1 989.6 103.4
Jl 270 219 104.7 179 697 106.3 1 997.5 103.4
Au 268 297 106.2 178 419 107.8 1 996.0 103.4
S 268 004 105.7 178 224 107.3 1 996.4 103.3
O 271 842 105.2 180 776 106.8 1 992.0 102.9
N 299 590 107.1 199 228 108.7 1 997.2 102.8
D 300 820 104.4 200 047 106.0 1 982.6 102.6
2017 J 285 847 108.8 190 088 108.8 2 037.4 104.0
F 285 928 109.1 190 142 109.1 2 034.7 103.4
M 315 942 111.7 210 101 111.7 2 038.7 103.3
A 319 211 112.6 212 274 112.6 2 040.2 102.8
My 308 214 110.6 204 962 110.6 2 046.1 103.1
Ju 311 308 113.5 207 020 113.5 2 048.9 103.0
Jl 302 943 112.1 201 457 112.1 2 040.0 102.1
Au 299 273 111.5 199 016 111.5 2 047.9 102.6
S 299 238 111.7 198 993 111.7 2 047.7 102.6
O 306 326 112.7 203 706 112.7 2 035.1 102.2
N 333 110 111.2 221 517 111.2 2 040.2 102.2
D 340 228 113.1 226 251 113.1 2 048.8 103.3
2018 J 323 030 113.2 214 814 113.2 2 125.3 102.9
F 315 772 110.7 209 987 110.7 2 127.8 103.2
M 342 419 108.6 227 712 108.6 2 130.1 103.0
A 353 804 111.1 235 279 111.1 2 131.9 102.8
My 340 974 111.0 226 747 111.0 2 136.8 102.6
Ju 341 002 110.0 226 765 110.0 2 143.9 102.5
Jl 335 084 111.1 222 830 111.1 2 151.3 102.4
Au 332 174 111.4 220 895 111.4 2 145.2 102.4
S 331 661 111.1 220 554 111.1 2 139.1 102.3
O 339 213 111.2 225 576 111.2 2 143.7 102.4
N 368 282 111.1 244 907 111.1 2 151.1 103.0
D 374 486 110.7 249 032 110.7 2 141.9 102.3
2019 J 359 772 111.8 239 248 111.8 2 215.1 102.5
F 356 841 112.1 237 299 112.1 2 228.3 103.5
M 384 257 111.7 255 531 111.7 2 232.4 103.1
A 389 587 110.3 259 075 110.3 2 242.8 103.0
My 378 587 111.2 251 760 111.2 2 241.8 102.7
Ju 378 182 110.9 251 491 110.9 2 233.0 102.1
Jl
Au
S
O
N
D
Monthly cumulative data
2019 J–J 359 772 111.8 239 248 111.8 2 215.1 102.5
J–F 358 302 111.9 238 271 111.9 2 221.7 103.0
J–M 366 982 111.8 244 043 111.8 2 225.3 103.0
J–A 372 665 111.4 247 822 111.4 2 229.6 103.0
J–My 373 854 111.4 248 613 111.4 2 232.1 102.9
J–Ju 374 576 111.3 249 093 111.3 2 232.2 102.8
J–Jl
J–Au
J–S
J–O
J–N
J–D
Quarterly cumulative data
2015 Q1 255 601 103.6 167 421 103.6 1 899.6 103.2
Q1–Q2 260 299 103.8 170 497 103.8 1 906.1 102.9
Q1–Q3 258 428 103.9 169 272 103.9 1 914.8 102.8
Q1–Q4 262 731 104.0 172 091 104.0 1 920.3 102.9
2016 Q1 269 171 105.3 179 000 106.9 1 966.9 103.5
Q1–Q2 274 039 105.3 182 237 106.9 1 976.6 103.7
Q1–Q3 272 292 105.4 181 075 107.0 1 983.3 103.6
Q1–Q4 276 923 105.4 184 155 107.0 1 985.1 103.4
2017 Q1 295 923 109.9 196 788 109.9 2 036.9 103.6
Q1–Q2 304 441 111.1 202 452 111.1 2 041.0 103.3
Q1–Q3 303 117 111.3 201 572 111.3 2 042.4 103.0
Q1–Q4 308 994 111.6 205 480 111.6 2 042.1 102.9
2018 Q1 327 083 110.7 217 511 110.7 2 127.7 103.0
Q1–Q2 336 193 110.7 223 568 110.7 2 132.6 102.8
Q1–Q3 335 114 110.9 222 851 110.9 2 136.8 102.7
Q1–Q4 341 540 110.9 227 124 110.9 2 139.0 102.7
2019 Q1 366 982 111.8 244 043 111.8 2 225.3 103.0
Q1–Q2 374 576 111.3 249 093 111.3 2 232.2 102.8
Q1–Q3
Q1–Q4
*Data of enterprises with at least 5 employees. 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.  aCalculated without tax benefits.  Preliminary data 

© Hungarian Central Statistical Office, 2011