Migration in Ponto Belo/ES (2017–2022)

Ponto Belo/ES had a reference population (aged 5 or over in 2022) of 6,065 people. In the 2017–2022 five-year period, the municipality received 530 in-migrants and lost 525 out-migrants to other municipalities in Brazil, resulting in a net migration of +5 people (1.04 per 1,000 population) and a migration effectiveness index (IEM) of 0.006. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Ponto Belo/ES, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	530	361 to 699	use with caution
Out-migrants	525	322 to 728	use with caution
Net migration	+5	−259 to 269	not classified
Net migration rate, TLM (per 1,000 pop.)	1.04	-	-
Migration effectiveness index (IEM)	0.006	-	-

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 Ponto Belo/ES
Origin	People	Precision
Mucurici/ES · view pair in the atlas	85	low precision
Montanha/ES · view pair in the atlas	60	low precision
Nanuque/MG · view pair in the atlas	55	low precision
Vila Velha/ES · view pair in the atlas	50	low precision
Vitória/ES · view pair in the atlas	45	low precision
Pinheiros/ES · view pair in the atlas	30	low precision
São Mateus/ES · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Ponto Belo/ES
Destination	People	Precision
Nova Venécia/ES · view pair in the atlas	90	low precision
São Mateus/ES · view pair in the atlas	60	low precision
Mucurici/ES · view pair in the atlas	60	low precision
Montanha/ES · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	225	42.1%	20-49
First move from municipality of birth	165	30.8%	20-49
Return to municipality of birth	145	27.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	41.5%	20-49
Completed high school, incomplete higher education	115	35.4%	20-49
Completed higher education	45	13.8%	5-19
Completed elementary, incomplete high school	30	9.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	190	35.5%	20-49
¼ to ½ minimum wage	175	32.7%	20-49
Up to ¼ of a minimum wage	85	15.9%	5-19
1 to 2 minimum wages	75	14.0%	5-19
Other / suppressed	10	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	95	17.6%	5-19
Ages 15–24, female	75	13.9%	5-19
Ages 25–39, male	70	13.0%	5-19
Ages 5–14, female	70	13.0%	5-19
Ages 40–59, female	55	10.2%	5-19
Ages 40–59, male	50	9.3%	5-19
Ages 60 and over, female	45	8.3%	5-19
Other / suppressed	45	8.3%	5-19
Ages 15–24, male	35	6.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	335	64.4%	20-49
Return to municipality of birth	110	21.2%	5-19
First move from municipality of birth	75	14.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	41.1%	20-49
Completed high school, incomplete higher education	65	23.2%	5-19
Completed higher education	60	21.4%	5-19
Completed elementary, incomplete high school	40	14.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	205	39.0%	20-49
1 to 2 minimum wages	135	25.7%	20-49
¼ to ½ minimum wage	95	18.1%	20-49
More than 2 minimum wages	55	10.5%	5-19
Other / suppressed	35	6.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	115	21.7%	5-19
Ages 5–14, female	70	13.2%	5-19
Ages 25–39, male	60	11.3%	5-19
Ages 60 and over, female	60	11.3%	5-19
Ages 40–59, female	55	10.4%	5-19
Ages 25–39, female	50	9.4%	5-19
Ages 40–59, male	45	8.5%	5-19
Ages 15–24, female	40	7.5%	5-19
Other / suppressed	35	6.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,035	50.9%	100-499
Completed high school, incomplete higher education	1,085	27.1%	100-499
Completed elementary, incomplete high school	525	13.1%	50-99
Completed higher education	355	8.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,805	30.3%	100-499
¼ to ½ minimum wage	1,765	29.6%	100-499
Up to ¼ of a minimum wage	1,190	20.0%	100-499
1 to 2 minimum wages	905	15.2%	100-499
More than 2 minimum wages	295	4.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	895	16.2%	100-499
Ages 40–59, male	835	15.1%	100-499
Ages 60 and over, female	635	11.5%	100-499
Ages 60 and over, male	630	11.4%	100-499
Ages 25–39, female	495	8.9%	50-99
Ages 25–39, male	480	8.7%	50-99
Ages 5–14, male	400	7.2%	50-99
Ages 15–24, male	370	6.7%	50-99
Ages 5–14, female	370	6.7%	50-99
Ages 15–24, female	355	6.4%	50-99
Other / suppressed	70	1.3%	5-19

Commuting (work and study)

Commuting indicators for Ponto Belo/ES
Employed persons (aged 10 and over)	2,410
Commute out to work in another municipality	175
Commute in from another municipality to work here	195
Net commuting	+20
Out-commuting rate (%)	7.27
Commuting attraction index	1.002
Median commuting time	30 min

Open Ponto Belo/ES 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]: Ponto Belo/ES. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ponto-belo-es-3204252/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.