Migration in Pancas/ES (2017–2022)

Pancas/ES had a reference population (aged 5 or over in 2022) of 17,745 people. In the 2017–2022 five-year period, the municipality received 1,095 in-migrants and lost 1,440 out-migrants to other municipalities in Brazil, resulting in a net migration of −345 people (−19.42 per 1,000 population) and a migration effectiveness index (IEM) of −0.136. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Pancas/ES, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,095	777 to 1,413	good
Out-migrants	1,440	1,072 to 1,808	good
Net migration	−345	−831 to 141	not classified
Net migration rate, TLM (per 1,000 pop.)	−19.42	-	-
Migration effectiveness index (IEM)	−0.136	-	-

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

Top origins and destinations

Top 10 origins of in-migrants to Pancas/ES
Origin	People	Precision
Colatina/ES · view pair in the atlas	330	low precision
Águia Branca/ES · view pair in the atlas	100	low precision
Baixo Guandu/ES · view pair in the atlas	80	low precision
Serra/ES · view pair in the atlas	55	low precision
Vitória/ES · view pair in the atlas	40	low precision
Alto Rio Novo/ES · view pair in the atlas	30	low precision
Cariacica/ES · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Pancas/ES
Destination	People	Precision
Colatina/ES · view pair in the atlas	420	use with caution
Serra/ES · view pair in the atlas	195	low precision
Baixo Guandu/ES · view pair in the atlas	90	low precision
São Domingos do Norte/ES · view pair in the atlas	60	low precision
Águia Branca/ES · view pair in the atlas	50	low precision
São Gabriel da Palha/ES · view pair in the atlas	50	low precision
Alto Rio Novo/ES · view pair in the atlas	25	low precision
Mantenópolis/ES · view pair in the atlas	25	low precision
Nova Venécia/ES · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	500	45.7%	50-99
Multi-step migration	400	36.5%	50-99
Return to municipality of birth	195	17.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	275	41.4%	20-49
Completed high school, incomplete higher education	195	29.3%	20-49
Completed elementary, incomplete high school	155	23.3%	20-49
Completed higher education	40	6.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	400	36.7%	50-99
½ to 1 minimum wage	355	32.6%	50-99
1 to 2 minimum wages	140	12.8%	20-49
More than 2 minimum wages	100	9.2%	5-19
Up to ¼ of a minimum wage	95	8.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	195	18.0%	20-49
Ages 25–39, female	185	17.1%	20-49
Ages 5–14, male	155	14.3%	5-19
Ages 5–14, female	120	11.1%	5-19
Ages 15–24, female	115	10.6%	20-49
Ages 40–59, female	110	10.1%	5-19
Ages 40–59, male	100	9.2%	5-19
Ages 60 and over, male	45	4.1%	5-19
Ages 15–24, male	45	4.1%	5-19
Other / suppressed	15	1.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	750	52.1%	50-99
Multi-step migration	560	38.9%	50-99
Return to municipality of birth	130	9.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	380	45.2%	20-49
Completed high school, incomplete higher education	280	33.3%	20-49
Completed elementary, incomplete high school	135	16.1%	5-19
Completed higher education	45	5.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	455	31.5%	20-49
½ to 1 minimum wage	425	29.4%	50-99
¼ to ½ minimum wage	330	22.8%	20-49
Up to ¼ of a minimum wage	135	9.3%	5-19
More than 2 minimum wages	75	5.2%	5-19
Other / suppressed	25	1.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	215	14.9%	20-49
Ages 25–39, male	195	13.5%	20-49
Ages 15–24, female	195	13.5%	20-49
Ages 15–24, male	190	13.2%	20-49
Ages 40–59, female	155	10.8%	5-19
Ages 40–59, male	120	8.3%	5-19
Ages 5–14, male	115	8.0%	5-19
Ages 60 and over, male	105	7.3%	5-19
Ages 5–14, female	100	6.9%	5-19
Ages 60 and over, female	50	3.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,865	56.1%	>=500
Completed high school, incomplete higher education	2,865	23.4%	100-499
Completed elementary, incomplete high school	1,275	10.4%	100-499
Completed higher education	1,235	10.1%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,935	33.4%	>=500
¼ to ½ minimum wage	4,020	22.6%	>=500
1 to 2 minimum wages	3,610	20.3%	>=500
Up to ¼ of a minimum wage	2,525	14.2%	100-499
More than 2 minimum wages	1,685	9.5%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,595	15.6%	100-499
Ages 40–59, female	2,565	15.4%	100-499
Ages 60 and over, female	1,865	11.2%	100-499
Ages 60 and over, male	1,760	10.6%	100-499
Ages 25–39, female	1,745	10.5%	100-499
Ages 25–39, male	1,710	10.3%	100-499
Ages 15–24, male	1,250	7.5%	100-499
Ages 15–24, female	1,070	6.4%	100-499
Ages 5–14, male	1,045	6.3%	100-499
Ages 5–14, female	1,020	6.1%	100-499

Commuting (work and study)

Commuting indicators for Pancas/ES
Employed persons (aged 10 and over)	8,020
Commute out to work in another municipality	305
Commute in from another municipality to work here	205
Net commuting	−100
Out-commuting rate (%)	3.79
Commuting attraction index	0.977
Median commuting time	60 min

Open Pancas/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]: Pancas/ES. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pancas-es-3204005/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.