Migration in São Sebastião do Tocantins/TO (2017–2022)

São Sebastião do Tocantins/TO had a reference population (aged 5 or over in 2022) of 3,775 people. In the 2017–2022 five-year period, the municipality received 440 in-migrants and lost 465 out-migrants to other municipalities in Brazil, resulting in a net migration of −25 people (−6.62 per 1,000 population) and a migration effectiveness index (IEM) of −0.027. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for São Sebastião do Tocantins/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	440	323 to 557	good
Out-migrants	465	279 to 651	use with caution
Net migration	−25	−245 to 195	not classified
Net migration rate, TLM (per 1,000 pop.)	−6.62	-	-
Migration effectiveness index (IEM)	−0.027	-	-

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 São Sebastião do Tocantins/TO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	85	low precision
Imperatriz/MA · view pair in the atlas	60	low precision
Buriti do Tocantins/TO · view pair in the atlas	45	low precision
Esperantina/TO · view pair in the atlas	45	low precision
Palmas/TO · view pair in the atlas	30	low precision
Brasília/DF · view pair in the atlas	15	low precision
Marabá/PA · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Sebastião do Tocantins/TO
Destination	People	Precision
Vila Nova dos Martírios/MA · view pair in the atlas	50	low precision
Buriti do Tocantins/TO · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	200	45.5%	50-99
First move from municipality of birth	120	27.3%	20-49
Return to municipality of birth	120	27.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	38.3%	20-49
Completed high school, incomplete higher education	65	27.7%	20-49
Completed elementary, incomplete high school	50	21.3%	5-19
Completed higher education	30	12.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	150	34.1%	20-49
½ to 1 minimum wage	115	26.1%	20-49
Up to ¼ of a minimum wage	95	21.6%	20-49
1 to 2 minimum wages	55	12.5%	20-49
More than 2 minimum wages	25	5.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	80	18.0%	20-49
Ages 25–39, female	75	16.9%	20-49
Ages 5–14, female	55	12.4%	5-19
Ages 25–39, male	55	12.4%	5-19
Ages 15–24, female	45	10.1%	5-19
Ages 40–59, male	40	9.0%	5-19
Ages 15–24, male	35	7.9%	5-19
Ages 40–59, female	25	5.6%	5-19
Ages 60 and over, male	25	5.6%	5-19
Ages 60 and over, female	10	2.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	300	63.8%	20-49
First move from municipality of birth	135	28.7%	20-49
Other / suppressed	35	7.4%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	46.3%	5-19
Completed high school, incomplete higher education	45	22.0%	5-19
Completed elementary, incomplete high school	35	17.1%	5-19
Other / suppressed	30	14.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	130	27.7%	5-19
Up to ¼ of a minimum wage	115	24.5%	20-49
¼ to ½ minimum wage	100	21.3%	5-19
More than 2 minimum wages	65	13.8%	5-19
1 to 2 minimum wages	60	12.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	100	21.5%	5-19
Ages 25–39, male	95	20.4%	5-19
Other / suppressed	75	16.1%	5-19
Ages 5–14, female	70	15.1%	5-19
Ages 15–24, male	50	10.8%	5-19
Ages 25–39, female	40	8.6%	5-19
Ages 5–14, male	35	7.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	985	47.0%	100-499
Completed high school, incomplete higher education	550	26.3%	100-499
Completed elementary, incomplete high school	340	16.2%	100-499
Completed higher education	220	10.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,260	34.5%	100-499
¼ to ½ minimum wage	1,170	32.0%	100-499
Up to ¼ of a minimum wage	695	19.0%	100-499
1 to 2 minimum wages	355	9.7%	100-499
More than 2 minimum wages	175	4.8%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	460	13.8%	100-499
Ages 40–59, female	435	13.1%	100-499
Ages 25–39, male	370	11.1%	100-499
Ages 25–39, female	360	10.8%	100-499
Ages 15–24, male	320	9.6%	100-499
Ages 5–14, male	310	9.3%	100-499
Ages 15–24, female	290	8.7%	50-99
Ages 5–14, female	280	8.4%	50-99
Ages 60 and over, female	225	6.8%	50-99
Ages 60 and over, male	225	6.8%	50-99
Other / suppressed	55	1.7%	5-19

Commuting (work and study)

Commuting indicators for São Sebastião do Tocantins/TO
Employed persons (aged 10 and over)	1,510
Commute out to work in another municipality	135
Commute in from another municipality to work here	75
Net commuting	−60
Out-commuting rate (%)	8.81
Commuting attraction index	0.960
Median commuting time	40 min

Open São Sebastião do Tocantins/TO 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]: São Sebastião do Tocantins/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-sebastiao-do-tocantins-to-1720309/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.