Migration in Inácio Martins/PR (2017–2022)

Inácio Martins/PR had a reference population (aged 5 or over in 2022) of 8,990 people. In the 2017–2022 five-year period, the municipality received 600 in-migrants and lost 860 out-migrants to other municipalities in Brazil, resulting in a net migration of −260 people (−29.02 per 1,000 population) and a migration effectiveness index (IEM) of −0.179. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Inácio Martins/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	600	429 to 771	good
Out-migrants	860	548 to 1,172	use with caution
Net migration	−260	−616 to 96	not classified
Net migration rate, TLM (per 1,000 pop.)	−29.02	-	-
Migration effectiveness index (IEM)	−0.179	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Inácio Martins/PR
Origin	People	Precision
Guarapuava/PR · view pair in the atlas	185	use with caution
Irati/PR · view pair in the atlas	95	use with caution
Curitiba/PR · view pair in the atlas	40	low precision
Cruz Machado/PR · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Inácio Martins/PR
Destination	People	Precision
Guarapuava/PR · view pair in the atlas	205	low precision
Irati/PR · view pair in the atlas	110	low precision
Turvo/PR · view pair in the atlas	45	low precision
Cruz Machado/PR · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	310	51.2%	50-99
Return to municipality of birth	150	24.8%	20-49
Multi-step migration	145	24.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	160	47.8%	20-49
No schooling or incomplete elementary	85	25.4%	20-49
Completed elementary, incomplete high school	55	16.4%	5-19
Completed higher education	35	10.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	275	45.8%	50-99
¼ to ½ minimum wage	140	23.3%	20-49
1 to 2 minimum wages	105	17.5%	20-49
Up to ¼ of a minimum wage	50	8.3%	20-49
More than 2 minimum wages	25	4.2%	5-19
Other / suppressed	5	0.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	110	18.5%	20-49
Ages 25–39, female	100	16.8%	20-49
Ages 15–24, female	90	15.1%	5-19
Ages 5–14, female	65	10.9%	5-19
Ages 5–14, male	60	10.1%	5-19
Ages 40–59, female	55	9.2%	5-19
Ages 40–59, male	55	9.2%	5-19
Ages 15–24, male	50	8.4%	5-19
Other / suppressed	10	1.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	460	53.2%	50-99
Multi-step migration	345	39.9%	20-49
Return to municipality of birth	60	6.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	275	57.3%	20-49
Completed high school, incomplete higher education	110	22.9%	5-19
Other / suppressed	60	12.5%	<5
Completed elementary, incomplete high school	35	7.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	290	33.7%	20-49
½ to 1 minimum wage	280	32.6%	20-49
1 to 2 minimum wages	100	11.6%	5-19
Up to ¼ of a minimum wage	95	11.0%	5-19
More than 2 minimum wages	85	9.9%	5-19
Other / suppressed	10	1.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	130	15.0%	5-19
Ages 25–39, male	125	14.5%	5-19
Ages 25–39, female	115	13.3%	5-19
Ages 15–24, male	110	12.7%	5-19
Ages 5–14, male	105	12.1%	5-19
Ages 15–24, female	100	11.6%	5-19
Ages 40–59, female	70	8.1%	5-19
Ages 5–14, female	60	6.9%	5-19
Ages 60 and over, male	35	4.0%	5-19
Other / suppressed	15	1.7%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,205	57.1%	>=500
Completed high school, incomplete higher education	1,105	19.7%	100-499
Completed elementary, incomplete high school	800	14.3%	100-499
Completed higher education	500	8.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,365	37.1%	>=500
¼ to ½ minimum wage	2,570	28.4%	>=500
1 to 2 minimum wages	1,790	19.8%	100-499
Up to ¼ of a minimum wage	710	7.8%	100-499
More than 2 minimum wages	625	6.9%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,210	14.4%	100-499
Ages 40–59, female	1,205	14.4%	100-499
Ages 25–39, male	885	10.6%	100-499
Ages 25–39, female	855	10.2%	100-499
Ages 15–24, male	770	9.2%	100-499
Ages 60 and over, male	735	8.8%	100-499
Ages 60 and over, female	720	8.6%	100-499
Ages 5–14, male	685	8.2%	100-499
Ages 5–14, female	665	7.9%	100-499
Ages 15–24, female	650	7.8%	100-499

Commuting (work and study)

Commuting indicators for Inácio Martins/PR
Employed persons (aged 10 and over)	4,110
Commute out to work in another municipality	120
Commute in from another municipality to work here	160
Net commuting	+40
Out-commuting rate (%)	2.90
Commuting attraction index	0.999
Median commuting time	60 min

Open Inácio Martins/PR in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Inácio Martins/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/inacio-martins-pr-4110201/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.