Migration in Terra Nova/BA (2017–2022)

Terra Nova/BA had a reference population (aged 5 or over in 2022) of 10,175 people. In the 2017–2022 five-year period, the municipality received 320 in-migrants and lost 625 out-migrants to other municipalities in Brazil, resulting in a net migration of −305 people (−30.13 per 1,000 population) and a migration effectiveness index (IEM) of −0.325. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Terra Nova/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	320	226 to 414	use with caution
Out-migrants	625	350 to 900	use with caution
Net migration	−305	−595 to −15	not classified
Net migration rate, TLM (per 1,000 pop.)	−30.13	-	-
Migration effectiveness index (IEM)	−0.325	-	-

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 Terra Nova/BA
Origin	People	Precision
Salvador/BA · view pair in the atlas	135	use with caution
São Sebastião do Passé/BA · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Terra Nova/BA
Destination	People	Precision
Salvador/BA · view pair in the atlas	240	low precision
Camaçari/BA · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	135	42.2%	20-49
Return to municipality of birth	95	29.7%	20-49
Multi-step migration	90	28.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	36.8%	5-19
Completed elementary, incomplete high school	50	26.3%	5-19
No schooling or incomplete elementary	45	23.7%	5-19
Completed higher education	25	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	31.2%	20-49
¼ to ½ minimum wage	75	23.4%	20-49
1 to 2 minimum wages	60	18.8%	5-19
Up to ¼ of a minimum wage	50	15.6%	5-19
More than 2 minimum wages	35	10.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	75	23.8%	5-19
Ages 5–14, female	40	12.7%	5-19
Ages 15–24, female	35	11.1%	5-19
Ages 25–39, male	35	11.1%	5-19
Ages 40–59, male	30	9.5%	5-19
Ages 40–59, female	25	7.9%	5-19
Ages 5–14, male	25	7.9%	5-19
Ages 15–24, male	25	7.9%	5-19
Other / suppressed	25	7.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	295	47.6%	20-49
Multi-step migration	295	47.6%	20-49
Other / suppressed	30	4.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	37.7%	5-19
Completed high school, incomplete higher education	125	36.2%	5-19
Completed elementary, incomplete high school	90	26.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	195	31.0%	5-19
¼ to ½ minimum wage	145	23.0%	5-19
½ to 1 minimum wage	145	23.0%	5-19
1 to 2 minimum wages	80	12.7%	5-19
Other / suppressed	65	10.3%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	175	28.0%	5-19
Ages 25–39, male	145	23.2%	5-19
Ages 15–24, male	120	19.2%	5-19
Ages 25–39, female	110	17.6%	5-19
Ages 15–24, female	75	12.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,535	51.8%	>=500
Completed high school, incomplete higher education	1,970	28.9%	100-499
Completed elementary, incomplete high school	955	14.0%	100-499
Completed higher education	365	5.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,930	37.5%	>=500
¼ to ½ minimum wage	3,305	31.5%	>=500
Up to ¼ of a minimum wage	2,065	19.7%	100-499
1 to 2 minimum wages	865	8.3%	100-499
More than 2 minimum wages	310	3.0%	50-99
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,555	15.8%	100-499
Ages 40–59, male	1,355	13.7%	100-499
Ages 25–39, female	1,115	11.3%	100-499
Ages 25–39, male	1,030	10.4%	100-499
Ages 60 and over, female	1,010	10.2%	100-499
Ages 15–24, male	830	8.4%	100-499
Ages 15–24, female	785	8.0%	100-499
Ages 60 and over, male	750	7.6%	100-499
Ages 5–14, male	720	7.3%	100-499
Ages 5–14, female	710	7.2%	100-499

Commuting (work and study)

Commuting indicators for Terra Nova/BA
Employed persons (aged 10 and over)	3,575
Commute out to work in another municipality	600
Commute in from another municipality to work here	175
Net commuting	−430
Out-commuting rate (%)	16.79
Commuting attraction index	0.863
Median commuting time	90 min

Open Terra Nova/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]: Terra Nova/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/terra-nova-ba-2931707/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.