Ranking of powiats in 2021

In order to show the powiat’s position in the Voivodship, a comparative method of indicators was used. Selected indicators are marked with letters A to W. Depending on the type of indicator, the data was ordered:

  • descending, i.e. the first (1) position was given to the powiat with the highest value of the feature or
  • ascending, i.e. the first (1) position was given to the powiat with the lowest value of the feature.

The powiats for whom the indicator took the same value were assigned the same position, another was left unused and the next one was assigned to the powiat with the next indicator value. For powiats in which the surveyed phenomenon did not occur, „.” was inserted instead of the position.

To clarify the created ranking, the extreme positions are marked with the following colors: 

  • the first – in green,
  • the last – in pink.

Pressing at the powiat name displays the chart.

Pressing at the indicator name displays the chart.


Population connected to wastewater treatment plants in % of total population (as of 31 December)

Municipal waste collected during the year per capita


Population per km2 of total area (as of 31 December)

Non-working age population per 100 persons of working age (as of 31 December)

Natural increase per 1 000 population

Net internal and international migrations for permanent stay per 1 000 population

Labour market. Entities

Employed persons per 1 000 population (as of 31 December)

Natural persons conducting economic activity registered in the REGON register per 1 000 population (as of 31 December)

Registered unemployment rate (as of 31 December)

Average monthly gross wages and salaries

Municipal infrastructure. Dwellings

Water supply distribution network per 100 km2 (as of 31 December)

Sewage distribution network per 100 km2 (as of 31 December)

Gas supply distribution network per 100 km2 (as of 31 December)

Average number of persons per dwelling (as of 31 December)

Dwellings completed per 1 000 population

Hard surface district and communal roads 100 km2 (as of 31 December)

Education. Social infrastructure

Children aged 3–5 in pre-primary education establishments per 1 000 children of given age group (as of the beginning of the school year)

Population per 1 out-patient health care provider (as of 31 December)

Collection of public libraries per 1 000 population (as of 31 December)

Budgets of local government units

Revenue of gmina budgets per capita (excluding gminas which are also cities with powiat status)

Own revenue of gmina budgets per capita (excluding gminas which are also cities with powiat status)

Revenue of powiat budgets per capita

Own revenue of powiat budgets per capita

Revenue of budgets of cities with powiat status per capita

Own revenue of budgets of cities with powiat status per capita


(–) magnitude zero.
(0) magnitude not zero, but less than 0.5 of a unit;
(0,0) magnitude not zero, but less than 0.05 of a unit.
( . ) data not available, classified data (statistical confidentiality) or providing data impossible or purposeless.
"Of which" indicates that not all elements of the sum are given.


PLN = Polish złoty ha = hectare
pcs. = pieces
km2 = square kilometer
vol. = volume
m3 = cubic metre
kg = kilogram
dam3 = cubic decametre
t = tonne
kWh = kilowatt hour
km = kilometre
m2 = square metre

In this publication, as a tool for presenting statistical data, an MS Excel spreadsheet was used, which contains information in the form of absolute and relative (indicators) numbers.

Statistics most often and most commonly uses numbers to describe the studied populations or phenomena. The description may be aimed at presenting the number (size), structure or indices of the population or phenomena.

The collective numerical characteristics of the statistical population include indicators.

The indicator is a quotient of two quantities corresponding to the components of a given population or representing the characteristics of two different populations, or relating to the same population, but in different periods or moments.

There are three main types of indicators:

  • indicators of structure
  • indicators of intensity,
  • indicators of dynamics.

Indicators of structure, also known as structural numbers, determine the ratio of a certain size concerning a part of the statistical population to that size concerning the entire population.

An indicator or measure of intensity determines the ratio of quantities characterising two different populations or statistical phenomena related to each other in some causal or logical way.

Indicators of dynamics express the ratio between the numbers characterising a certain quantity in two different periods or moments of time. They are used to study dynamic series, i.e. changes that occur in statistical populations over a period of time.

There are two basic measures of the dynamics of a statistical population: absolute increase and relative increase.

The absolute increase is the difference between the values of the variable in consecutive periods (e.g. in consecutive years, months or days).

The relative increase is the ratio of the absolute increase to the value of the variable from the previous period. If this relative increase is multiplied by 100, we will get a percentage increase.

Przyrost absolutny i przyrost względny mogą przybierać wartości dodatnie, ujemne, względnie mogą być równe zero.

Indexes are the most commonly used measure of dynamics. The index is the ratio of the variable value from different periods to the value of the same variable from the determined comparative period.

Relative numbers were usually calculated based on absolute data expressed with greater accuracy than those given in the spreadsheets.

When calculating data per capita (1000 population, etc.) as of the end of the year (e.g. employment, public library collection), the population was assumed as of 31 December, and when calculating data characterising the size of the phenomenon during the year (e.g. vital statistics, dwellings completed) – as of 30 June.

Automatic rounding of numbers in some cases could cause minor differences in sums of data at higher level of aggregation.

Methods for calculating the indicators included in the publication.