Migration in Monte Santo do Tocantins/TO (2017–2022)

Monte Santo do Tocantins/TO had a reference population (aged 5 or over in 2022) of 2,255 people. In the 2017–2022 five-year period, the municipality received 450 in-migrants and lost 230 out-migrants to other municipalities in Brazil, resulting in a net migration of +215 people (96.36 per 1,000 population) and a migration effectiveness index (IEM) of 0.319. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Monte Santo do Tocantins/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	450	356 to 544	good
Out-migrants	230	90 to 370	low precision
Net migration	+215	47 to 383	not classified
Net migration rate, TLM (per 1,000 pop.)	96.36	-	-
Migration effectiveness index (IEM)	0.319	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Monte Santo do Tocantins/TO
Origin	People	Precision
Paraíso do Tocantins/TO · view pair in the atlas	165	use with caution
Divinópolis do Tocantins/TO · view pair in the atlas	30	low precision
Barrolândia/TO · view pair in the atlas	25	low precision
Pium/TO · view pair in the atlas	25	low precision
Araguacema/TO · view pair in the atlas	15	low precision
Porto Nacional/TO · view pair in the atlas	15	low precision
Caseara/TO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Monte Santo do Tocantins/TO
Destination	People	Precision
Paraíso do Tocantins/TO · view pair in the atlas	120	low precision
Chapada de Areia/TO · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	275	61.1%	100-499
First move from municipality of birth	160	35.6%	50-99
Return to municipality of birth	15	3.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	150	55.6%	50-99
Completed high school, incomplete higher education	70	25.9%	20-49
Completed elementary, incomplete high school	35	13.0%	5-19
Completed higher education	15	5.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	160	36.0%	50-99
½ to 1 minimum wage	145	32.6%	50-99
Up to ¼ of a minimum wage	60	13.5%	20-49
1 to 2 minimum wages	60	13.5%	20-49
More than 2 minimum wages	20	4.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	80	17.8%	20-49
Ages 25–39, female	60	13.3%	20-49
Ages 5–14, female	55	12.2%	20-49
Ages 40–59, female	50	11.1%	20-49
Ages 15–24, male	50	11.1%	20-49
Ages 25–39, male	45	10.0%	20-49
Ages 5–14, male	35	7.8%	5-19
Ages 15–24, female	35	7.8%	5-19
Ages 60 and over, male	30	6.7%	5-19
Ages 60 and over, female	10	2.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	170	72.3%	20-49
Other / suppressed	35	14.9%	<5
First move from municipality of birth	30	12.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed elementary, incomplete high school	35	33.3%	5-19
No schooling or incomplete elementary	35	33.3%	5-19
Completed high school, incomplete higher education	25	23.8%	5-19
Other / suppressed	10	9.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	115	48.9%	5-19
¼ to ½ minimum wage	45	19.1%	5-19
Up to ¼ of a minimum wage	40	17.0%	5-19
1 to 2 minimum wages	35	14.9%	5-19
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	60	26.1%	5-19
Ages 15–24, male	45	19.6%	5-19
Ages 15–24, female	35	15.2%	5-19
Ages 25–39, female	35	15.2%	5-19
Ages 5–14, female	20	8.7%	5-19
Ages 5–14, male	20	8.7%	5-19
Ages 25–39, male	15	6.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	695	53.9%	100-499
Completed high school, incomplete higher education	315	24.4%	100-499
Completed elementary, incomplete high school	180	14.0%	50-99
Completed higher education	100	7.8%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	775	39.8%	100-499
¼ to ½ minimum wage	620	31.9%	100-499
1 to 2 minimum wages	275	14.1%	100-499
Up to ¼ of a minimum wage	170	8.7%	50-99
More than 2 minimum wages	105	5.4%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	285	15.9%	100-499
Ages 40–59, female	265	14.8%	100-499
Ages 60 and over, male	240	13.4%	100-499
Ages 25–39, female	180	10.0%	50-99
Ages 60 and over, female	165	9.2%	50-99
Ages 25–39, male	155	8.6%	50-99
Ages 5–14, male	145	8.1%	50-99
Ages 5–14, female	140	7.8%	50-99
Ages 15–24, female	115	6.4%	50-99
Ages 15–24, male	105	5.8%	20-49

Commuting (work and study)

Commuting indicators for Monte Santo do Tocantins/TO
Employed persons (aged 10 and over)	880
Commute out to work in another municipality	90
Commute in from another municipality to work here	70
Net commuting	−20
Out-commuting rate (%)	10.19
Commuting attraction index	0.957
Median commuting time	60 min

Open Monte Santo 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]: Monte Santo 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/monte-santo-do-tocantins-to-1713700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.