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Resident employed population. Journeys. By mode of transportation. Counties and Aran, areas and provinces

Resident employed population. Journeys. By mode of transportation. Counties and Aran, areas and provinces. (1/2) 2011
Cars/vans
Driver Passenger Bus/coach minibus Metro Motorbike On foot Train Bicycle Others
Alt Camp 10,232 948 721 53 425 1,388 400 458 420
Alt Empordà 23,339 3,249 2,750 150 1,619 8,143 1,247 966 617
Alt Penedès 21,063 2,553 2,685 412 1,231 5,630 2,115 837 652
Alt Urgell 3,449 507 418 105 204 1,993 80 229 .. Confidential data, low reliability or not available
Alta Ribagorça 565 94 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 404 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available
Anoia 21,397 2,905 3,415 334 1,351 5,819 1,124 595 615
Bages 32,882 4,727 5,586 315 1,460 11,087 1,208 911 440
Baix Camp 38,287 3,694 3,741 319 2,286 7,136 1,403 1,269 1,261
Baix Ebre 14,734 1,108 650 .. Confidential data, low reliability or not available 593 2,766 316 551 382
Baix Empordà 20,251 3,081 2,433 67 1,669 7,325 671 880 680
Baix Llobregat 147,767 21,396 32,134 13,038 11,175 35,807 15,232 4,068 4,161
Baix Penedès 17,444 1,461 1,353 1,239 714 2,753 2,345 594 474
Barcelonès 243,212 50,297 97,900 164,389 51,575 155,251 26,537 21,721 12,679
Berguedà 6,628 957 841 203 299 2,143 276 214 348
Cerdanya 2,860 498 449 .. Confidential data, low reliability or not available 103 1,667 107 182 79
Conca de Barberà 4,402 203 219 .. Confidential data, low reliability or not available 196 904 142 202 83
Garraf 25,896 4,233 4,661 1,006 2,465 7,190 3,997 1,275 666
Garrigues 3,411 422 491 .. Confidential data, low reliability or not available 116 1,192 78 81 221
Garrotxa 10,791 1,396 1,459 .. Confidential data, low reliability or not available 611 3,195 327 596 230
Gironès 33,705 5,651 6,556 181 2,561 12,589 1,828 1,872 1,045
Maresme 73,239 9,897 14,207 3,403 5,942 20,018 8,838 2,812 1,685
Montsià 13,271 1,364 892 .. Confidential data, low reliability or not available 425 3,074 466 538 290
Noguera 6,821 728 715 .. Confidential data, low reliability or not available 257 2,285 135 243 233
Osona 29,539 4,010 3,784 300 1,184 7,390 1,240 1,043 762
Pallars Jussà 1,659 274 213 .. Confidential data, low reliability or not available 116 814 .. Confidential data, low reliability or not available 89 .. Confidential data, low reliability or not available
Pallars Sobirà 1,080 182 95 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 444 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 66
Pla d'Urgell 7,028 914 529 .. Confidential data, low reliability or not available 408 2,381 251 337 290
Pla de l'Estany 6,378 833 1,050 .. Confidential data, low reliability or not available 358 1,664 276 348 107
Priorat 1,708 159 107 .. Confidential data, low reliability or not available 101 511 48 55 79
Ribera d'Ebre 4,482 354 335 .. Confidential data, low reliability or not available 235 908 66 91 177
Ripollès 4,615 811 647 80 141 2,018 195 195 87
Segarra 3,890 757 437 65 190 1,829 168 231 69
Segrià 34,729 6,252 5,807 114 2,210 15,740 1,211 1,928 1,258
Selva 28,940 4,324 4,618 289 2,192 10,191 1,366 927 719
Solsonès 2,134 267 279 .. Confidential data, low reliability or not available 174 907 .. Confidential data, low reliability or not available 102 56
Tarragonès 50,580 4,377 6,810 516 3,131 9,553 2,665 1,840 1,498
Terra Alta 1,984 189 92 .. Confidential data, low reliability or not available 133 661 49 54 147
Urgell 6,099 889 866 .. Confidential data, low reliability or not available 257 2,520 224 337 292
Val d'Aran 1,655 356 274 .. Confidential data, low reliability or not available 180 677 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available
Vallès Occidental 161,310 24,357 32,310 7,002 11,040 46,108 18,956 6,000 4,685
Vallès Oriental 80,617 10,191 12,246 2,362 4,307 17,747 7,119 2,359 1,845
Catalonia 1,204,073 180,865 254,837 196,501 113,703 421,822 102,902 57,143 39,553
Metropolità 706,144 116,138 188,797 190,194 84,039 274,931 76,683 36,959 25,055
Comarques Gironines 128,018 19,344 19,511 792 9,151 45,126 5,909 5,785 3,484
Camp de Tarragona 105,209 9,381 11,598 917 6,138 19,492 4,657 3,825 3,342
Terres de l'Ebre 34,471 3,015 1,968 156 1,386 7,408 897 1,235 996
Ponent 61,979 9,962 8,845 307 3,439 25,946 2,067 3,157 2,362
Comarques Centrals 71,183 9,961 10,490 846 3,117 21,526 2,785 2,270 1,607
Alt Pirineu i Aran 11,269 1,911 1,514 299 670 5,999 323 612 301
Penedès 85,800 11,152 12,114 2,990 5,761 21,392 9,581 3,301 2,407
Barcelona 843,570 135,493 209,738 192,761 92,021 314,141 86,616 41,823 28,537
Girona 130,217 19,821 19,936 813 9,263 46,713 6,025 5,971 3,537
Lleida 73,163 11,694 10,243 616 4,180 31,313 2,361 3,696 2,667
Tarragona 157,124 13,858 14,919 2,312 8,239 29,654 7,899 5,653 4,812
Source: Idescat, based on the Population and Housing Censuses INE's.
Note: The Population and Housing Census 2011 includes survey data. The results have been conveniently rounded up and are shown without decimals. Hence, some totals may not coincide with the sum of their disaggregation.
(..) Confidential data, low reliability or not available.
Resident employed population. Journeys. By means of transport. Counties and Aran, areas and provinces. (1/2) 2011
Commuting Not applicable Non-commuting Resident employed population
Alt Camp 14,603 1,633 2,203 18,440
Alt Empordà 40,713 6,075 6,439 53,228
Alt Penedès 35,413 4,428 4,568 44,409
Alt Urgell 6,890 1,326 1,186 9,402
Alta Ribagorça 1,177 363 336 1,875
Anoia 36,202 4,161 5,120 45,483
Bages 56,757 7,239 8,173 72,169
Baix Camp 57,453 7,618 8,367 73,438
Baix Ebre 20,570 4,325 3,918 28,813
Baix Empordà 35,853 6,380 6,427 48,660
Baix Llobregat 270,585 25,462 33,685 329,732
Baix Penedès 27,262 3,513 3,826 34,600
Barcelonès 763,999 81,323 73,611 918,933
Berguedà 11,434 1,861 2,176 15,472
Cerdanya 5,836 1,373 1,766 8,975
Conca de Barberà 6,193 1,046 1,093 8,332
Garraf 48,466 5,411 6,255 60,132
Garrigues 5,770 1,166 1,077 8,012
Garrotxa 18,268 2,578 2,653 23,500
Gironès 64,093 5,906 8,389 78,387
Maresme 133,285 16,368 19,260 168,913
Montsià 19,723 2,726 3,432 25,881
Noguera 11,106 2,216 2,081 15,404
Osona 47,898 6,811 7,647 62,356
Pallars Jussà 3,141 1,070 1,190 5,401
Pallars Sobirà 1,950 556 728 3,234
Pla d'Urgell 11,863 1,928 1,955 15,746
Pla de l'Estany 10,696 1,877 1,523 14,096
Priorat 2,656 694 575 3,924
Ribera d'Ebre 6,453 1,160 1,043 8,655
Ripollès 8,580 1,228 1,453 11,261
Segarra 7,427 1,214 1,250 9,891
Segrià 66,829 8,563 9,066 84,458
Selva 51,989 6,562 7,424 65,976
Solsonès 3,906 1,018 749 5,674
Tarragonès 78,315 8,605 10,146 97,067
Terra Alta 3,206 881 960 5,047
Urgell 11,221 1,688 1,649 14,558
Val d'Aran 3,453 379 662 4,494
Vallès Occidental 297,012 29,736 37,691 364,439
Vallès Oriental 132,779 15,109 17,561 165,449
Catalonia 2,441,025 283,577 309,314 3,033,916
Metropolità 1,597,660 167,998 181,809 1,947,467
Comarques Gironines 230,193 30,607 34,308 295,107
Camp de Tarragona 159,219 19,595 22,385 201,200
Terres de l'Ebre 49,952 9,092 9,352 68,396
Ponent 114,216 16,776 17,078 148,069
Comarques Centrals 119,995 16,931 18,745 155,671
Alt Pirineu i Aran 22,447 5,067 5,868 33,382
Penedès 147,343 17,513 19,769 184,624
Barcelona 1,833,693 197,827 215,699 2,247,218
Girona 235,252 31,656 35,587 302,496
Lleida 135,647 21,894 22,464 180,006
Tarragona 236,433 32,200 35,563 304,196
Source: Idescat, based on the Population and Housing Censuses INE's.
Note: The Population and Housing Census 2011 includes survey data. The results have been conveniently rounded up and are shown without decimals. Hence, some totals may not coincide with the sum of their disaggregation.

Last update: May 30, 2014.

Statistics CENSPH

Methodological note

Methodological aspects

The data from the population census concerning the location of economic activity of the employed population on the location of the student population place of study allows for knowing the commuting for the population by comparing the place of work/study with the place of residence of the workers and students. The population census also examines mobility characteristics like transport means used, number of trips and their duration, while connecting these variables to demographic and economic characteristics.

The reference population for the study of commuting to work reasons is the resident employed population (REP), which is comprised of all employed residents, including both those working outside and within the resident area. The same analysis applies to both the resident student population (RSP).

The unit of analysis in the statistics of commuting are those persons who are residents of Catalonia that are working and residents of Catalonia that are studying. In the 2001 and 2011, when a person was both studying and working they only had to answer questions about mobility related to work. This criteria is not maintained in earlier years.

With respect to age, all editions of the statistics include all people that work or study, with the exception of 2001, which only included information on the population aged 16 years and over.

In the 2001 and el 2011 censuses, part of the working and student population did not have to answer the specific questions on mobility in the census questionnaire and were therefore excluded from the analysis. These were people that:

  • Do not travel because they work or study at home.
  • Work or study in different municipalities, about which only the city of residence is known, but not the work or study city.
  • Have a second residence from which they travel to work or study, about which only the municipality of residence, work or study are known, but the municipality of the second home from which they commute is not available.

Questions about the means of transport have differed across the different editions. In the 2001 and 2011 censuses the data collection categories were modified and it was possible to answer with up to two possibilities in reference to longer journeys.

The 2001 and 2011 censuses asked about the number of journeys per day, which corresponded to the outward journey and the return journey, as well as the journey time from home to the place of work or study. These two variables were absent in the previous editions.

The following categories are defined:

  • Residents that work inside area/Resident students that study inside area: Persons that work/study in the same geographic area in which they reside.
  • Residents that work out-of-area/Resident students that study out-of-area: Resident persons in the selected geographic area that work/study in a different area.
  • Non-residents that work inside area/Non Resident students that study inside area: Persons that work/study in the selected geographic area but reside outside of this area.
  • Resident employed/student population (REP and RSP): Resident employed/Student population = Residents that work inside area/Students that study inside area + Residents that work out-of-area/Students that study out-of-area + employed/students that commute to several municipalities.
  • Located places of work/study (LPW and LPS): = Residents that work inside area/Students that study inside area + Non-residents that work inside area/Non-resident students that study inside area.
  • Difference: The difference between the number of located places of work/study and the resident employed/student population by geographic area.
  • Non-commuting: Works or studies at home.
  • Not applicable: Works or studies in several municipalities, has a second residence at the place of work or study or did not answer this question.
  • Means of transport: In car or van as driver. In car or van as passenger. In bus, coach or minibus. In metro. On motorbike. Walking. On train. On bicycle. Other means.

The Population and Housing Census 2011 includes survey data. The results have been conveniently rounded up and are shown without decimals. Hence, some totals may not coincide with the sum of their disaggregation.

Unavailable information is represented using the symbol ":". When the value is lower than that of the minimum unit to be able to estimate the statistical operation or if it effects statistical confidentiality, the symbol used is "..".