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

Santa Tereza do Tocantins/TO had a reference population (aged 5 or over in 2022) of 2,500 people. In the 2017–2022 five-year period, the municipality received 260 in-migrants and lost 325 out-migrants to other municipalities in Brazil, resulting in a net migration of −65 people (−26.07 per 1,000 population) and a migration effectiveness index (IEM) of −0.112. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Santa Tereza do Tocantins/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	260	189 to 331	good
Out-migrants	325	187 to 463	use with caution
Net migration	−65	−220 to 90	not classified
Net migration rate, TLM (per 1,000 pop.)	−26.07	-	-
Migration effectiveness index (IEM)	−0.112	-	-

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 Tereza do Tocantins/TO
Origin	People	Precision
Palmas/TO · view pair in the atlas	120	use with caution
Ponte Alta do Tocantins/TO · view pair in the atlas	35	low precision
Porto Nacional/TO · view pair in the atlas	15	low precision
Miracema do Tocantins/TO · view pair in the atlas	15	low precision
Lagoa do Tocantins/TO · view pair in the atlas	15	low precision
Novo Acordo/TO · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Santa Tereza do Tocantins/TO
Destination	People	Precision
Palmas/TO · view pair in the atlas	180	low precision
Lagoa do Tocantins/TO · view pair in the atlas	45	low precision
Ponte Alta do Tocantins/TO · 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	140	54.9%	50-99
First move from municipality of birth	90	35.3%	20-49
Return to municipality of birth	25	9.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	60	33.3%	20-49
Completed high school, incomplete higher education	55	30.6%	5-19
Completed higher education	35	19.4%	5-19
Completed elementary, incomplete high school	30	16.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	75	28.8%	20-49
¼ to ½ minimum wage	65	25.0%	20-49
1 to 2 minimum wages	50	19.2%	20-49
Up to ¼ of a minimum wage	35	13.5%	5-19
More than 2 minimum wages	35	13.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	45	17.6%	5-19
Ages 25–39, male	40	15.7%	5-19
Ages 40–59, male	40	15.7%	5-19
Ages 40–59, female	25	9.8%	5-19
Ages 60 and over, male	20	7.8%	5-19
Ages 5–14, male	20	7.8%	5-19
Ages 5–14, female	20	7.8%	5-19
Ages 15–24, male	20	7.8%	5-19
Ages 15–24, female	15	5.9%	5-19
Ages 60 and over, female	10	3.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	195	60.9%	20-49
First move from municipality of birth	85	26.6%	5-19
Return to municipality of birth	40	12.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	51.2%	5-19
Completed high school, incomplete higher education	50	23.3%	5-19
Completed elementary, incomplete high school	30	14.0%	5-19
Other / suppressed	25	11.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	34.4%	5-19
¼ to ½ minimum wage	95	29.7%	20-49
1 to 2 minimum wages	70	21.9%	5-19
Other / suppressed	25	7.8%	<5
Up to ¼ of a minimum wage	20	6.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	85	27.0%	5-19
Ages 25–39, male	60	19.0%	5-19
Ages 25–39, female	40	12.7%	5-19
Ages 5–14, female	35	11.1%	5-19
Ages 15–24, female	30	9.5%	5-19
Ages 40–59, male	25	7.9%	5-19
Ages 5–14, male	20	6.3%	5-19
Ages 40–59, female	20	6.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	670	47.9%	100-499
Completed high school, incomplete higher education	370	26.4%	100-499
Completed higher education	190	13.6%	50-99
Completed elementary, incomplete high school	170	12.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	835	33.1%	100-499
½ to 1 minimum wage	810	32.1%	100-499
1 to 2 minimum wages	450	17.8%	100-499
Up to ¼ of a minimum wage	295	11.7%	100-499
More than 2 minimum wages	135	5.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	290	12.9%	100-499
Ages 40–59, female	270	12.1%	100-499
Ages 25–39, male	245	10.9%	50-99
Ages 5–14, female	240	10.7%	50-99
Ages 25–39, female	235	10.5%	50-99
Ages 5–14, male	230	10.3%	50-99
Ages 15–24, female	190	8.5%	50-99
Ages 15–24, male	185	8.3%	50-99
Ages 60 and over, male	180	8.0%	50-99
Ages 60 and over, female	175	7.8%	50-99

Commuting (work and study)

Commuting indicators for Santa Tereza do Tocantins/TO
Employed persons (aged 10 and over)	1,145
Commute out to work in another municipality	140
Commute in from another municipality to work here	50
Net commuting	−90
Out-commuting rate (%)	12.12
Commuting attraction index	0.908
Median commuting time	60 min

Open Santa Tereza 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 Tereza 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-tereza-do-tocantins-to-1719004/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.