Migration in Grão-Pará/SC (2017–2022)

Grão-Pará/SC had a reference population (aged 5 or over in 2022) of 5,815 people. In the 2017–2022 five-year period, the municipality received 495 in-migrants and lost 380 out-migrants to other municipalities in Brazil, resulting in a net migration of +115 people (19.89 per 1,000 population) and a migration effectiveness index (IEM) of 0.133. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Grão-Pará/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	495	371 to 619	good
Out-migrants	380	218 to 542	use with caution
Net migration	+115	−89 to 319	not classified
Net migration rate, TLM (per 1,000 pop.)	19.89	-	-
Migration effectiveness index (IEM)	0.133	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Grão-Pará/SC
Origin	People	Precision
Braço do Norte/SC · view pair in the atlas	130	use with caution
Urubici/SC · view pair in the atlas	45	low precision
Tubarão/SC · view pair in the atlas	25	low precision
Armazém/SC · view pair in the atlas	20	low precision
Orleans/SC · view pair in the atlas	20	low precision
Florianópolis/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Grão-Pará/SC
Destination	People	Precision
Braço do Norte/SC · view pair in the atlas	115	low precision
Gravatal/SC · view pair in the atlas	50	low precision
São Ludgero/SC · view pair in the atlas	25	low precision
Rio Fortuna/SC · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	245	49.5%	50-99
First move from municipality of birth	215	43.4%	50-99
Return to municipality of birth	35	7.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	34.5%	20-49
Completed high school, incomplete higher education	80	29.1%	20-49
Completed higher education	55	20.0%	5-19
Completed elementary, incomplete high school	45	16.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	32.7%	50-99
1 to 2 minimum wages	140	28.6%	20-49
More than 2 minimum wages	105	21.4%	20-49
¼ to ½ minimum wage	60	12.2%	20-49
Other / suppressed	25	5.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.2%	20-49
Ages 15–24, female	85	17.2%	20-49
Ages 25–39, male	70	14.1%	20-49
Ages 40–59, female	55	11.1%	5-19
Ages 5–14, female	55	11.1%	5-19
Ages 5–14, male	50	10.1%	5-19
Ages 40–59, male	50	10.1%	5-19
Ages 15–24, male	30	6.1%	5-19
Other / suppressed	15	3.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	190	50.0%	20-49
Multi-step migration	125	32.9%	5-19
Return to municipality of birth	65	17.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	36.4%	5-19
Completed high school, incomplete higher education	60	27.3%	5-19
Completed elementary, incomplete high school	55	25.0%	5-19
Other / suppressed	25	11.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	190	50.7%	20-49
More than 2 minimum wages	80	21.3%	5-19
½ to 1 minimum wage	75	20.0%	5-19
¼ to ½ minimum wage	30	8.0%	5-19
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	17.3%	5-19
Ages 15–24, female	65	17.3%	5-19
Ages 25–39, female	65	17.3%	5-19
Other / suppressed	60	16.0%	5-19
Ages 15–24, male	45	12.0%	5-19
Ages 40–59, female	40	10.7%	5-19
Ages 5–14, male	35	9.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,060	51.8%	>=500
Completed high school, incomplete higher education	830	20.9%	100-499
Completed elementary, incomplete high school	650	16.4%	100-499
Completed higher education	435	10.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	2,275	39.5%	>=500
½ to 1 minimum wage	1,635	28.4%	>=500
More than 2 minimum wages	1,500	26.0%	100-499
¼ to ½ minimum wage	300	5.2%	50-99
Up to ¼ of a minimum wage	55	1.0%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	795	15.0%	100-499
Ages 40–59, female	760	14.3%	100-499
Ages 25–39, male	660	12.4%	100-499
Ages 25–39, female	645	12.2%	100-499
Ages 60 and over, female	565	10.7%	100-499
Ages 60 and over, male	550	10.4%	100-499
Ages 15–24, male	350	6.6%	100-499
Ages 5–14, male	345	6.5%	100-499
Ages 5–14, female	325	6.1%	100-499
Ages 15–24, female	310	5.8%	50-99

Commuting (work and study)

Commuting indicators for Grão-Pará/SC
Employed persons (aged 10 and over)	3,305
Commute out to work in another municipality	265
Commute in from another municipality to work here	285
Net commuting	+25
Out-commuting rate (%)	7.95
Commuting attraction index	1.005
Median commuting time	30 min

This municipality is part of Região Metropolitana de Tubarão → see the metropolitan region page

Open Grão-Pará/SC 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]: Grão-Pará/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/grao-para-sc-4206108/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.