Migration in Nova Fátima/PR (2017–2022)

Nova Fátima/PR had a reference population (aged 5 or over in 2022) of 6,865 people. In the 2017–2022 five-year period, the municipality received 510 in-migrants and lost 850 out-migrants to other municipalities in Brazil, resulting in a net migration of −340 people (−49.61 per 1,000 population) and a migration effectiveness index (IEM) of −0.250. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Nova Fátima/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	510	352 to 668	use with caution
Out-migrants	850	569 to 1,131	use with caution
Net migration	−340	−663 to −17	not classified
Net migration rate, TLM (per 1,000 pop.)	−49.61	-	-
Migration effectiveness index (IEM)	−0.250	-	-

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 Nova Fátima/PR
Origin	People	Precision
Congonhinhas/PR · view pair in the atlas	70	low precision
Londrina/PR · view pair in the atlas	50	low precision
Curitiba/PR · view pair in the atlas	35	low precision
Santo Antônio do Paraíso/PR · view pair in the atlas	25	low precision
Cornélio Procópio/PR · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Nova Fátima/PR
Destination	People	Precision
Cambé/PR · view pair in the atlas	140	low precision
Cornélio Procópio/PR · view pair in the atlas	95	low precision
Congonhinhas/PR · view pair in the atlas	65	low precision
Londrina/PR · view pair in the atlas	65	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	220	43.1%	50-99
Return to municipality of birth	165	32.4%	20-49
First move from municipality of birth	125	24.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	45.1%	20-49
Completed high school, incomplete higher education	105	29.6%	20-49
Completed higher education	50	14.1%	5-19
Completed elementary, incomplete high school	40	11.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	155	30.4%	20-49
½ to 1 minimum wage	130	25.5%	20-49
Up to ¼ of a minimum wage	105	20.6%	20-49
1 to 2 minimum wages	95	18.6%	20-49
Other / suppressed	25	4.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	16.5%	5-19
Ages 40–59, female	75	14.6%	5-19
Ages 40–59, male	70	13.6%	5-19
Ages 60 and over, female	55	10.7%	5-19
Ages 5–14, female	50	9.7%	5-19
Ages 15–24, female	45	8.7%	5-19
Ages 25–39, male	40	7.8%	5-19
Ages 15–24, male	40	7.8%	5-19
Ages 60 and over, male	30	5.8%	5-19
Ages 5–14, male	25	4.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	490	57.3%	50-99
Multi-step migration	335	39.2%	20-49
Return to municipality of birth	30	3.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	155	31.6%	5-19
Completed elementary, incomplete high school	140	28.6%	5-19
No schooling or incomplete elementary	130	26.5%	5-19
Completed higher education	65	13.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	255	29.8%	20-49
1 to 2 minimum wages	245	28.7%	20-49
¼ to ½ minimum wage	200	23.4%	20-49
More than 2 minimum wages	90	10.5%	5-19
Other / suppressed	65	7.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	165	19.2%	5-19
Ages 25–39, male	155	18.0%	20-49
Ages 25–39, female	130	15.1%	5-19
Ages 15–24, male	125	14.5%	5-19
Ages 15–24, female	90	10.5%	5-19
Ages 5–14, male	85	9.9%	5-19
Ages 5–14, female	70	8.1%	5-19
Other / suppressed	40	4.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,295	49.2%	100-499
Completed high school, incomplete higher education	1,320	28.3%	100-499
Completed elementary, incomplete high school	530	11.4%	100-499
Completed higher education	515	11.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,785	41.6%	>=500
1 to 2 minimum wages	1,490	22.2%	100-499
¼ to ½ minimum wage	1,370	20.4%	100-499
More than 2 minimum wages	540	8.1%	100-499
Up to ¼ of a minimum wage	515	7.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	980	15.5%	100-499
Ages 40–59, male	925	14.6%	100-499
Ages 60 and over, female	760	12.0%	100-499
Ages 60 and over, male	695	11.0%	100-499
Ages 25–39, male	665	10.5%	100-499
Ages 25–39, female	635	10.0%	100-499
Ages 15–24, male	435	6.9%	50-99
Ages 5–14, male	425	6.7%	50-99
Ages 5–14, female	425	6.7%	50-99
Ages 15–24, female	395	6.2%	50-99

Commuting (work and study)

Commuting indicators for Nova Fátima/PR
Employed persons (aged 10 and over)	3,045
Commute out to work in another municipality	345
Commute in from another municipality to work here	215
Net commuting	−125
Out-commuting rate (%)	11.27
Commuting attraction index	0.903
Median commuting time	38 min

Open Nova Fátima/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]: Nova Fátima/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-fatima-pr-4117008/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.