Migration in Pindobaçu/BA (2017–2022)

Pindobaçu/BA had a reference population (aged 5 or over in 2022) of 17,785 people. In the 2017–2022 five-year period, the municipality received 1,020 in-migrants and lost 1,220 out-migrants to other municipalities in Brazil, resulting in a net migration of −200 people (−11.17 per 1,000 population) and a migration effectiveness index (IEM) of −0.089. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Pindobaçu/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,020	727 to 1,313	good
Out-migrants	1,220	784 to 1,656	use with caution
Net migration	−200	−725 to 325	not classified
Net migration rate, TLM (per 1,000 pop.)	−11.17	-	-
Migration effectiveness index (IEM)	−0.089	-	-

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 Pindobaçu/BA
Origin	People	Precision
São Paulo/SP · view pair in the atlas	110	low precision
Campo Formoso/BA · view pair in the atlas	100	low precision
Salvador/BA · view pair in the atlas	95	low precision

Top 10 destinations of out-migrants from Pindobaçu/BA
Destination	People	Precision
Senhor do Bonfim/BA · view pair in the atlas	205	low precision
Jacobina/BA · view pair in the atlas	105	low precision
Antônio Gonçalves/BA · view pair in the atlas	75	low precision
Filadélfia/BA · view pair in the atlas	30	low precision
Campo Formoso/BA · 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	375	36.6%	20-49
Return to municipality of birth	365	35.6%	20-49
Multi-step migration	285	27.8%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	280	44.8%	20-49
Completed high school, incomplete higher education	205	32.8%	20-49
Completed elementary, incomplete high school	80	12.8%	5-19
Completed higher education	60	9.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	320	31.2%	20-49
½ to 1 minimum wage	305	29.8%	20-49
¼ to ½ minimum wage	230	22.4%	20-49
More than 2 minimum wages	110	10.7%	5-19
1 to 2 minimum wages	60	5.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	160	15.7%	5-19
Ages 40–59, male	145	14.2%	5-19
Ages 25–39, male	135	13.2%	5-19
Ages 40–59, female	125	12.3%	5-19
Ages 5–14, female	120	11.8%	5-19
Ages 5–14, male	95	9.3%	5-19
Ages 15–24, male	90	8.8%	5-19
Ages 15–24, female	90	8.8%	5-19
Other / suppressed	60	5.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	630	51.4%	50-99
Multi-step migration	305	24.9%	20-49
Return to municipality of birth	290	23.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	265	39.6%	20-49
Completed high school, incomplete higher education	165	24.6%	20-49
Completed elementary, incomplete high school	150	22.4%	5-19
Completed higher education	90	13.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	450	36.9%	20-49
¼ to ½ minimum wage	340	27.9%	50-99
1 to 2 minimum wages	180	14.8%	20-49
Up to ¼ of a minimum wage	175	14.3%	20-49
More than 2 minimum wages	75	6.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	250	20.5%	20-49
Ages 25–39, male	185	15.2%	20-49
Ages 40–59, male	155	12.7%	5-19
Ages 25–39, female	135	11.1%	20-49
Ages 15–24, male	130	10.7%	5-19
Ages 40–59, female	100	8.2%	5-19
Ages 5–14, female	90	7.4%	5-19
Ages 5–14, male	80	6.6%	5-19
Ages 60 and over, female	65	5.3%	5-19
Ages 60 and over, male	30	2.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,910	60.5%	>=500
Completed high school, incomplete higher education	2,590	22.7%	100-499
Completed elementary, incomplete high school	1,230	10.8%	100-499
Completed higher education	685	6.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,480	30.4%	>=500
Up to ¼ of a minimum wage	5,380	29.8%	>=500
¼ to ½ minimum wage	5,210	28.9%	>=500
1 to 2 minimum wages	1,665	9.2%	100-499
More than 2 minimum wages	315	1.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,345	14.0%	100-499
Ages 40–59, female	2,335	13.9%	100-499
Ages 25–39, male	1,845	11.0%	100-499
Ages 25–39, female	1,720	10.3%	100-499
Ages 60 and over, female	1,600	9.6%	100-499
Ages 60 and over, male	1,565	9.3%	100-499
Ages 15–24, female	1,480	8.8%	100-499
Ages 5–14, female	1,335	8.0%	100-499
Ages 15–24, male	1,300	7.8%	100-499
Ages 5–14, male	1,220	7.3%	100-499

Commuting (work and study)

Commuting indicators for Pindobaçu/BA
Employed persons (aged 10 and over)	5,590
Commute out to work in another municipality	410
Commute in from another municipality to work here	275
Net commuting	−135
Out-commuting rate (%)	7.31
Commuting attraction index	0.966
Median commuting time	40 min

Open Pindobaçu/BA 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]: Pindobaçu/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pindobacu-ba-2924603/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.