Migration in Santa Cecília do Pavão/PR (2017–2022)

Santa Cecília do Pavão/PR had a reference population (aged 5 or over in 2022) of 3,170 people. In the 2017–2022 five-year period, the municipality received 175 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of −180 people (−56.77 per 1,000 population) and a migration effectiveness index (IEM) of −0.338. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Santa Cecília do Pavão/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	175	111 to 239	use with caution
Out-migrants	355	211 to 499	use with caution
Net migration	−180	−338 to −22	not classified
Net migration rate, TLM (per 1,000 pop.)	−56.77	-	-
Migration effectiveness index (IEM)	−0.338	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Santa Cecília do Pavão/PR
Origin	People	Precision
Londrina/PR · view pair in the atlas	40	low precision
Curitiba/PR · view pair in the atlas	20	low precision
Nova Santa Bárbara/PR · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Santa Cecília do Pavão/PR
Destination	People	Precision
São Sebastião da Amoreira/PR · view pair in the atlas	55	low precision
Nova Santa Bárbara/PR · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	90	51.4%	20-49
First move from municipality of birth	60	34.3%	20-49
Return to municipality of birth	25	14.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	55	50.0%	5-19
No schooling or incomplete elementary	30	27.3%	5-19
Completed higher education	15	13.6%	5-19
Other / suppressed	10	9.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	55	31.4%	5-19
1 to 2 minimum wages	55	31.4%	5-19
¼ to ½ minimum wage	45	25.7%	5-19
Other / suppressed	20	11.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	30	16.7%	5-19
Ages 40–59, male	25	13.9%	5-19
Ages 25–39, male	25	13.9%	5-19
Other / suppressed	25	13.9%	5-19
Ages 15–24, female	20	11.1%	5-19
Ages 15–24, male	20	11.1%	5-19
Ages 5–14, male	20	11.1%	5-19
Ages 40–59, female	15	8.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	160	45.1%	5-19
Multi-step migration	130	36.6%	5-19
Return to municipality of birth	65	18.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	50.0%	5-19
Completed elementary, incomplete high school	60	27.3%	5-19
Completed high school, incomplete higher education	25	11.4%	5-19
Completed higher education	25	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	105	29.6%	5-19
1 to 2 minimum wages	95	26.8%	5-19
More than 2 minimum wages	70	19.7%	5-19
¼ to ½ minimum wage	55	15.5%	5-19
Up to ¼ of a minimum wage	30	8.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	130	36.6%	5-19
Ages 15–24, male	55	15.5%	5-19
Ages 40–59, male	55	15.5%	5-19
Ages 25–39, female	50	14.1%	5-19
Ages 25–39, male	35	9.9%	5-19
Ages 40–59, female	30	8.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	970	43.9%	100-499
Completed high school, incomplete higher education	605	27.4%	100-499
Completed higher education	380	17.2%	100-499
Completed elementary, incomplete high school	255	11.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,325	41.7%	100-499
1 to 2 minimum wages	650	20.4%	100-499
¼ to ½ minimum wage	600	18.9%	100-499
Up to ¼ of a minimum wage	330	10.4%	100-499
More than 2 minimum wages	255	8.0%	50-99
Not applicable (collective dwelling)	20	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	445	14.9%	100-499
Ages 40–59, male	435	14.5%	100-499
Ages 60 and over, female	380	12.7%	100-499
Ages 60 and over, male	355	11.9%	100-499
Ages 25–39, female	310	10.4%	100-499
Ages 25–39, male	290	9.7%	50-99
Ages 5–14, male	205	6.9%	50-99
Ages 15–24, female	190	6.4%	50-99
Ages 15–24, male	190	6.4%	50-99
Ages 5–14, female	190	6.4%	50-99

Commuting (work and study)

Commuting indicators for Santa Cecília do Pavão/PR
Employed persons (aged 10 and over)	1,335
Commute out to work in another municipality	160
Commute in from another municipality to work here	75
Net commuting	−80
Out-commuting rate (%)	11.88
Commuting attraction index	0.890
Median commuting time	30 min

Open Santa Cecília do Pavão/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]: Santa Cecília do Pavão/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-cecilia-do-pavao-pr-4123204/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.