NUTS 3 areas of Poland by active enterprises, 2023

Miasto Warszawa had the highest active enterprises of 73 areas in 2023, at 270,470. Świecki had the lowest, at 8,855. The median was 29,855 and the figure for Poland was 2.75 million. Source: Eurostat, European Commission.

Highest270,470Miasto Warszawa

Lowest8,855Świecki

Median29,85573 areas

Poland2,746,431History

Top 40 areas, 2023

count. Source: Eurostat, Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r). Retrieved 2026-10-12.

Full ranking

Rank	Areas	2023 count	Change on 2022
1	Miasto Warszawa	270,470	+6.6%
2	Miasto Kraków	98,528	+6.7%
3	Miasto Wrocław	84,160	+5.4%
4	Trójmiejski	83,371	+4.9%
5	Warszawski zachodni	73,838	+4.7%
6	Miasto Poznań	68,479	+4.3%
7	Poznański	63,808	+2.9%
8	Bydgosko-toruński	60,268	+2.5%
9	Miasto Łódź	57,558	+1.7%
10	Krakowski	57,222	+4%
11	Warszawski wschodni	56,612	+4.6%
12	Katowicki	51,916	+2.6%
13	Gdański	51,364	+4.1%
14	Lubelski	50,273	+2.3%
15	Bielski	50,189	+1.3%
16	Wrocławski	47,647	+3.5%
17	Kielecki	46,927	+0.5%
18	Kaliski	45,855	+1.3%
19	Rzeszowski	43,710	+2.9%
20	Koniński	41,224	+1%
21	Leszczyński	40,048	+2.2%
22	Zielonogórski	40,035	+1.7%
23	Sosnowiecki	38,328	+0.6%
24	Miasto Szczecin	38,304	+0.5%
25	Białostocki	38,107	+3.9%
26	Olsztyński	36,099	+1.4%
27	Opolski	35,475	+1.6%
28	Częstochowski	35,420	+1.8%
29	Wałbrzyski	35,320	-0.3%
30	Szczeciński	34,617	-0.2%
31	Nowosądecki	34,308	+1%
32	Radomski	33,305	+1.6%
33	Jeleniogórski	32,539	-0.4%
34	Oświęcimski	32,463	+1.3%
35	Piotrkowski	31,373	+1.4%
36	Rybnicki	31,126	+1%
37	Tarnobrzeski	29,855	+1.3%
38	Gliwicki	28,906	+2.3%
39	Łódzki	28,620	+1.4%
40	Elbląski	26,699	-0%
41	Tyski	26,498	+1.6%
42	Chełmsko-zamojski	26,337	-0.3%
43	Tarnowski	25,958	+2.3%
44	Sieradzki	25,205	+0.8%
45	Gorzowski	25,085	+0.9%
46	Koszaliński	25,056	+1.6%
47	Bytomski	25,044	+1.5%
48	Nowotarski	24,181	+0.8%
49	Pilski	23,782	+0.5%
50	Krośnieński	23,261	+0.8%
51	Legnicko-głogowski	23,094	+0.7%
52	Siedlecki	23,077	+1.8%
53	Starogardzki	22,712	+0.9%
54	Puławski	22,548	+0.8%
55	Sandomiersko-jędrzejowski	20,789	+2%
56	Ostrołęcki	20,784	+1.9%
57	Szczecinecko-pyrzycki	20,223	-0.3%
58	Słupski	19,841	+0.8%
59	Grudziądzki	18,972	+1.2%
60	Inowrocławski	18,457	+0.6%
61	Nyski	18,197	+0.5%
62	Skierniewicki	17,974	+0.8%
63	Łomżyński	17,687	+1.6%
64	Ciechanowski	17,617	+0.7%
65	Płocki	17,449	+1.8%
66	Włocławski	17,269	+0.9%
67	Przemyski	16,871	+2.1%
68	Żyrardowski	16,283	+2.8%
69	Bialski	13,896	+0.6%
70	Ełcki	13,323	-0%
71	Chojnicki	13,253	+1.9%
72	Suwalski	12,487	+0.4%
73	Świecki	8,855	+0.6%

Other periods

2023
2022
2021

About this ranking

Enterprises that had turnover or employment at any time during the year, with or without employees.

Counts enterprises, which can run several local units, under the harmonised Eurostat and OECD business demography rules. Not the same as active_companies (the INE business register count for Spain) or employer_firms (US firms with employees). For the UK it counts every enterprise active at some point in the year, so it differs from registered_enterprises_total (UK Business Counts), a snapshot of the register in March.

Every value in the ranking comes from the same publisher and the same period, so the areas are compared on one definition. Equal values share a rank.

How to cite

Eurostat. Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r). https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

Eurostat, European Commission. (2026). Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r) (NUTS 3 areas of Poland by active enterprises, 2023) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table

MLA 9

Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r), NUTS 3 areas of Poland by active enterprises, 2023. Eurostat, European Commission, 13 Mar. 2026, https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table. Invokely, https://invokely.ai/rankings/active-enterprises/poland-provinces. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r). NUTS 3 areas of Poland by active enterprises, 2023. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table. Also distributed by Invokely, https://invokely.ai/rankings/active-enterprises/poland-provinces.

Harvard

Eurostat, European Commission (2026) Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r), NUTS 3 areas of Poland by active enterprises, 2023 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table, via Invokely: https://invokely.ai/rankings/active-enterprises/poland-provinces (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2023,
  author = {{Eurostat, European Commission}},
  title = {{Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd\_size\_r): NUTS 3 areas of Poland by active enterprises, 2023}},
  year = {2026},
  howpublished = {Data set},
  url = {https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/active-enterprises/poland-provinces. Publisher attribution: Eurostat. Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd\_size\_r). https://ec.europa.eu/eurostat/databrowser/view/bd\_size\_r/default/table. Retrieved 2026-10-12.},
}

RIS

TY  - DATA
AU  - Eurostat, European Commission
TI  - Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r): NUTS 3 areas of Poland by active enterprises, 2023
PY  - 2026
DA  - 2026/03/13
PB  - Eurostat, European Commission
DB  - Invokely
UR  - https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table
L2  - https://invokely.ai/rankings/active-enterprises/poland-provinces
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/active-enterprises/poland-provinces.
N1  - Publisher attribution: Eurostat. Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r). https://ec.europa.eu/eurostat/databrowser/view/bd_size_r/default/table. Retrieved 2026-10-12.
ER  -

Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Embed code

<iframe src="https://invokely.ai/embed/rankings/active-enterprises/poland-provinces" width="760" height="500" title="NUTS 3 areas of Poland by active enterprises, 2023, chart from Invokely" loading="lazy" style="border:0;width:100%;max-width:760px" referrerpolicy="strict-origin-when-cross-origin"></iframe>

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank NUTS 3 areas of Poland by active enterprises using official data, and cite the source.

rank_places {"indicator":"active_enterprises","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=active_enterprises&level=province&within=Poland&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which area has the highest active enterprises?

Miasto Warszawa, with 270,470 in 2023, according to Eurostat, European Commission.

Which area has the lowest active enterprises?

Świecki, with 8,855 in 2023.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Business demography by size class and NUTS 3 region, industry, construction and market services, all size classes, enterprises, number (bd_size_r). Retrieved 2026-10-12.