Migration in Santa Rosa do Tocantins/TO (2017–2022)

Santa Rosa do Tocantins/TO had a reference population (aged 5 or over in 2022) of 4,280 people. In the 2017–2022 five-year period, the municipality received 320 in-migrants and lost 350 out-migrants to other municipalities in Brazil, resulting in a net migration of −30 people (−7.29 per 1,000 population) and a migration effectiveness index (IEM) of −0.047. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Santa Rosa do Tocantins/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	320	222 to 418	use with caution
Out-migrants	350	209 to 491	use with caution
Net migration	−30	−202 to 142	not classified
Net migration rate, TLM (per 1,000 pop.)	−7.29	-	-
Migration effectiveness index (IEM)	−0.047	-	-

Sample of in-migrants: 50-99 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 Santa Rosa do Tocantins/TO
Origin	People	Precision
Porto Nacional/TO · view pair in the atlas	40	low precision
Goiânia/GO · view pair in the atlas	35	low precision
Silvanópolis/TO · view pair in the atlas	30	low precision
Palmas/TO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Santa Rosa do Tocantins/TO
Destination	People	Precision
Palmas/TO · view pair in the atlas	65	low precision
Porto Nacional/TO · view pair in the atlas	60	low precision
São Valério/TO · view pair in the atlas	25	low precision
Silvanópolis/TO · view pair in the atlas	15	low precision
Pindorama do Tocantins/TO · 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	175	55.6%	50-99
First move from municipality of birth	100	31.7%	20-49
Return to municipality of birth	40	12.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	65	36.1%	20-49
Completed high school, incomplete higher education	60	33.3%	5-19
Completed elementary, incomplete high school	35	19.4%	5-19
Completed higher education	20	11.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	125	38.5%	20-49
1 to 2 minimum wages	70	21.5%	5-19
¼ to ½ minimum wage	60	18.5%	20-49
Up to ¼ of a minimum wage	50	15.4%	5-19
More than 2 minimum wages	20	6.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	50	15.6%	5-19
Ages 25–39, male	45	14.1%	5-19
Ages 15–24, male	45	14.1%	5-19
Ages 15–24, female	45	14.1%	5-19
Ages 40–59, male	40	12.5%	5-19
Ages 5–14, male	30	9.4%	5-19
Other / suppressed	25	7.8%	5-19
Ages 40–59, female	20	6.2%	5-19
Ages 5–14, female	20	6.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	220	63.8%	20-49
First move from municipality of birth	100	29.0%	20-49
Return to municipality of birth	25	7.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	55	33.3%	5-19
No schooling or incomplete elementary	50	30.3%	5-19
Completed high school, incomplete higher education	40	24.2%	5-19
Completed elementary, incomplete high school	20	12.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	31.4%	20-49
More than 2 minimum wages	90	25.7%	5-19
1 to 2 minimum wages	60	17.1%	5-19
Up to ¼ of a minimum wage	55	15.7%	5-19
¼ to ½ minimum wage	35	10.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	60	17.6%	5-19
Ages 15–24, male	60	17.6%	5-19
Ages 15–24, female	60	17.6%	5-19
Ages 25–39, female	55	16.2%	5-19
Ages 25–39, male	50	14.7%	5-19
Ages 5–14, female	30	8.8%	5-19
Ages 5–14, male	25	7.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,335	51.5%	100-499
Completed high school, incomplete higher education	760	29.3%	100-499
Completed elementary, incomplete high school	315	12.2%	100-499
Completed higher education	180	6.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,610	37.2%	>=500
¼ to ½ minimum wage	1,035	23.9%	100-499
Up to ¼ of a minimum wage	960	22.2%	100-499
1 to 2 minimum wages	570	13.2%	100-499
More than 2 minimum wages	150	3.5%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	515	13.1%	100-499
Ages 25–39, male	475	12.0%	100-499
Ages 40–59, female	470	11.9%	100-499
Ages 25–39, female	450	11.4%	100-499
Ages 5–14, male	365	9.3%	100-499
Ages 60 and over, male	350	8.9%	100-499
Ages 5–14, female	350	8.9%	100-499
Ages 15–24, male	330	8.4%	50-99
Ages 60 and over, female	325	8.2%	100-499
Ages 15–24, female	315	8.0%	100-499

Commuting (work and study)

Commuting indicators for Santa Rosa do Tocantins/TO
Employed persons (aged 10 and over)	1,325
Commute out to work in another municipality	30
Commute in from another municipality to work here	45
Net commuting	+15
Out-commuting rate (%)	2.26
Commuting attraction index	0.993
Median commuting time	60 min

Open Santa Rosa 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]: Santa Rosa 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/santa-rosa-do-tocantins-to-1718907/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.