Migration in Monte Carlo/SC (2017–2022)

Monte Carlo/SC had a reference population (aged 5 or over in 2022) of 8,400 people. In the 2017–2022 five-year period, the municipality received 620 in-migrants and lost 705 out-migrants to other municipalities in Brazil, resulting in a net migration of −85 people (−10.23 per 1,000 population) and a migration effectiveness index (IEM) of −0.065. 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 Monte Carlo/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	620	448 to 792	good
Out-migrants	705	436 to 974	use with caution
Net migration	−85	−405 to 235	not classified
Net migration rate, TLM (per 1,000 pop.)	−10.23	-	-
Migration effectiveness index (IEM)	−0.065	-	-

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 Monte Carlo/SC
Origin	People	Precision
Monção/MA · view pair in the atlas	90	low precision
Pindaré-Mirim/MA · view pair in the atlas	55	low precision
Campos Novos/SC · view pair in the atlas	45	low precision
Fraiburgo/SC · view pair in the atlas	40	low precision
São Luís/MA · view pair in the atlas	35	low precision
Curitibanos/SC · view pair in the atlas	25	low precision
Florianópolis/SC · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Monte Carlo/SC
Destination	People	Precision
Fraiburgo/SC · view pair in the atlas	100	low precision
Campos Novos/SC · view pair in the atlas	90	low precision
Curitibanos/SC · view pair in the atlas	40	low precision
Brunópolis/SC · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	395	63.2%	50-99
Multi-step migration	205	32.8%	20-49
Other / suppressed	25	4.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	35.7%	20-49
Completed elementary, incomplete high school	95	27.1%	5-19
Completed high school, incomplete higher education	70	20.0%	5-19
Completed higher education	60	17.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	210	33.9%	20-49
½ to 1 minimum wage	195	31.5%	20-49
1 to 2 minimum wages	115	18.5%	20-49
Up to ¼ of a minimum wage	55	8.9%	5-19
More than 2 minimum wages	45	7.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	120	19.4%	20-49
Ages 25–39, female	90	14.5%	5-19
Ages 15–24, female	85	13.7%	5-19
Ages 5–14, male	75	12.1%	5-19
Ages 15–24, male	65	10.5%	5-19
Ages 40–59, male	50	8.1%	5-19
Ages 40–59, female	50	8.1%	5-19
Ages 5–14, female	45	7.3%	5-19
Ages 60 and over, female	25	4.0%	5-19
Other / suppressed	15	2.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	535	75.9%	50-99
First move from municipality of birth	130	18.4%	20-49
Return to municipality of birth	40	5.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	180	47.4%	20-49
Completed high school, incomplete higher education	120	31.6%	5-19
Completed elementary, incomplete high school	80	21.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	240	34.0%	20-49
½ to 1 minimum wage	235	33.3%	20-49
¼ to ½ minimum wage	75	10.6%	5-19
More than 2 minimum wages	75	10.6%	5-19
Up to ¼ of a minimum wage	70	9.9%	5-19
Other / suppressed	10	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	140	20.0%	5-19
Ages 15–24, female	115	16.4%	5-19
Ages 15–24, male	100	14.3%	5-19
Ages 25–39, female	80	11.4%	5-19
Ages 5–14, male	65	9.3%	5-19
Ages 40–59, male	60	8.6%	5-19
Ages 60 and over, male	40	5.7%	5-19
Ages 5–14, female	40	5.7%	5-19
Ages 40–59, female	40	5.7%	5-19
Other / suppressed	20	2.9%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,870	56.5%	>=500
Completed high school, incomplete higher education	885	17.4%	100-499
Completed elementary, incomplete high school	815	16.0%	100-499
Completed higher education	510	10.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,105	36.6%	>=500
1 to 2 minimum wages	2,180	25.7%	100-499
¼ to ½ minimum wage	1,590	18.8%	100-499
Up to ¼ of a minimum wage	970	11.4%	100-499
More than 2 minimum wages	630	7.4%	100-499
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,105	14.2%	100-499
Ages 40–59, female	1,080	13.9%	100-499
Ages 25–39, male	885	11.4%	100-499
Ages 25–39, female	875	11.3%	100-499
Ages 15–24, male	765	9.8%	100-499
Ages 15–24, female	730	9.4%	100-499
Ages 5–14, female	610	7.9%	100-499
Ages 5–14, male	580	7.5%	100-499
Ages 60 and over, female	575	7.4%	100-499
Ages 60 and over, male	565	7.3%	100-499

Commuting (work and study)

Commuting indicators for Monte Carlo/SC
Employed persons (aged 10 and over)	3,445
Commute out to work in another municipality	830
Commute in from another municipality to work here	205
Net commuting	−625
Out-commuting rate (%)	24.06
Commuting attraction index	0.800
Median commuting time	60 min

This municipality is part of Região Metropolitana do Contestado → see the metropolitan region page

Open Monte Carlo/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]: Monte Carlo/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/monte-carlo-sc-4211058/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.