Brazil/ br-ibge-brecha-internet

Digital divide: household internet access

Households and residents with and without internet use, by state and urban/rural area. Survey estimates rather than technical network coverage. Thousands of households/people are converted to units.

Oct 8, 2026DQ pass

Open in the editor

Initial chart

Brazil households using the internet · %

Households and residents with and without internet use, by state and urban/rural area. Survey estimates rather than technical network coverage. Thousands of households/people are converted to units.

Quick read

Between Jan 2016 and Jan 2025, the series increased 34.2% (70.8 → 95). The largest point-to-point change was +6.1, from Jan 2019 to Jan 2021.

Preview

Households and residents with and without internet use, by state and urban/rural area. Survey estimates rather than technical network coverage. Thousands of households/people are converted to units. Search a territory or category. Select one indicator, geography and breakdown before comparing; totals overlap their components.

Search records

9,072 records

Period	Indicator	Geography	Category	Value	Unit	Published unit	Published value before conversion
2016	Domicílios	Brasil	Total · Total	66,855,000	households	Mil unidades	66855
2016	Domicílios	Brasil	Total · Havia utilização de internet	47,320,000	households	Mil unidades	47320
2016	Domicílios	Brasil	Total · Não havia utilização de internet	19,535,000	households	Mil unidades	19535
2016	Domicílios	Brasil	Urbana · Total	57,690,000	households	Mil unidades	57690
2016	Domicílios	Brasil	Urbana · Havia utilização de internet	44,109,000	households	Mil unidades	44109
2016	Domicílios	Brasil	Urbana · Não havia utilização de internet	13,581,000	households	Mil unidades	13581
2016	Domicílios	Brasil	Rural · Total	9,165,000	households	Mil unidades	9165
2016	Domicílios	Brasil	Rural · Havia utilização de internet	3,211,000	households	Mil unidades	3211
2016	Domicílios	Brasil	Rural · Não havia utilização de internet	5,954,000	households	Mil unidades	5954
2016	Domicílios	Rondônia	Total · Total	544,000	households	Mil unidades	544
2016	Domicílios	Acre	Total · Total	228,000	households	Mil unidades	228
2016	Domicílios	Amazonas	Total · Total	998,000	households	Mil unidades	998
2016	Domicílios	Roraima	Total · Total	140,000	households	Mil unidades	140
2016	Domicílios	Pará	Total · Total	2,259,000	households	Mil unidades	2259
2016	Domicílios	Amapá	Total · Total	194,000	households	Mil unidades	194
2016	Domicílios	Tocantins	Total · Total	461,000	households	Mil unidades	461
2016	Domicílios	Maranhão	Total · Total	1,913,000	households	Mil unidades	1913
2016	Domicílios	Piauí	Total · Total	1,004,000	households	Mil unidades	1004
2016	Domicílios	Ceará	Total · Total	2,758,000	households	Mil unidades	2758
2016	Domicílios	Rio Grande do Norte	Total · Total	1,041,000	households	Mil unidades	1041
2016	Domicílios	Paraíba	Total · Total	1,236,000	households	Mil unidades	1236
2016	Domicílios	Pernambuco	Total · Total	2,971,000	households	Mil unidades	2971
2016	Domicílios	Alagoas	Total · Total	988,000	households	Mil unidades	988
2016	Domicílios	Sergipe	Total · Total	720,000	households	Mil unidades	720
2016	Domicílios	Bahia	Total · Total	4,810,000	households	Mil unidades	4810

1 / 363

Schema

Field	Type	Description
Country`country`	Text
Dataset`dataset_id`	Text
Record identifier`record_id`	Text
Period`period`	Date
Year`year`	Integer	May be empty.
Month`month`	Integer	May be empty.
Frequency`frequency`	Text	daily \| weekly \| monthly \| quarterly \| semiannual \| annual \| biennial \| edition
Indicator key`indicator_key`	Text
Indicator`indicator_name`	Text
Indicator group`indicator_group`	Text	May be empty.
Indicator direction`indicator_direction`	Text	higher_is_better \| higher_is_worse where the source direction has been explicitly reviewed.
Geography`geography_name`	Text	May be empty.
Geography level`geography_level`	Text	May be empty.
Sex`sex`	Text	Source-published sex dimension where available; Total is the aggregate.
Age`age`	Text	Source-published age dimension where available; Total is the aggregate.
Source-estimated`source_estimated`	Boolean	True when the source publishes a modeled or fractional disaggregation rather than a direct integer count.
Published rank`source_rank`	Integer	Source-published rank retained for context, not promoted as a trend measure.
Source edition`source_edition`	Text	Edition identifier published by the source.
Source action area`source_action_area`	Text	Source-published thematic or action area.
Source indicator identifier`source_indicator_id`	Text	Stable indicator identifier published by the source.
Publisher`publisher`	Text
Value`value`	Number	Published value after applying `unit_scale` (e.g. millions → units).
Unit`unit`	Text	Currency code, "index", "percent", "ratio" or a physical unit.
Published scale`unit_scale`	Text	Scale the source published in: units \| thousands \| millions \| billions.
Published value before conversion`source_value_text`	Text	Published numeric value before applying unit scale.
Published unit`source_unit`	Text	Original unit label, including index bases and currency scale.
Source link`source_url`	Text	May be empty.
Geography code`geography_code`	Text	May be empty.
Category`category`	Text	May be empty.
Breakdown code`category_key`	Text	Stable source dimension/category identities, separate from display labels.
Published dimensions`source_dimensions`	Text	Published dimension names and category labels, retained together for provenance.
Project identifier`project_id`	Text	May be empty.
Project`project_name`	Text	May be empty.
Agreement number`agreement_id`	Text	May be empty.
Published owner`owner_name`	Text	May be empty.
Status`status`	Text	May be empty.
Status detail`substatus`	Text	May be empty.
District`district`	Text	May be empty.
Locality`locality`	Text	May be empty.
Addressed hazard`hazard`	Text	May be empty.
Record cutoff date`source_cutoff`	Date	May be empty.
Snapshot date`snapshot_date`	Date	May be empty.
Record period basis`period_basis`	Text	Reporting month, fiscal year, row cutoff or publication date; these are different time concepts.
Start date`start_date`	Date	May be empty.
End date`end_date`	Date	May be empty.
Planned end date`planned_end_date`	Date	May be empty.
Published event date`source_event_date`	Date	May be empty.
Department`department`	Text	May be empty.
Province`province`	Text	May be empty.
Facility`facility_name`	Text	May be empty.
Facility ID`facility_id`	Text	May be empty.
Company`company_name`	Text	May be empty.
Company identifier`company_identifier`	Text	May be empty.
Economic activity`activity`	Text	May be empty.
Reported standard`regulatory_basis`	Text	May be empty.
Published period`source_period_label`	Text	May be empty.
Facility role`waste_role`	Text	May be empty.
Declared or estimated`waste_data_type`	Text	May be empty.
Waste treatment`waste_treatment`	Text	May be empty.
Destination facility`destination_facility`	Text	May be empty.
Destination company`destination_company`	Text	May be empty.
Destination municipality`destination_municipality`	Text	May be empty.
Estimated population (not additive)`reported_population`	Integer	Published stock denominator, repeated by week; never sum as population.
Alternative source estimate (not additive)`source_estimate_value`	Number	Alternative source estimate; do not add to the validated main measure.
Published record data and context`source_context`	Text	Original published environmental or statistical attributes.
Preliminary`preliminary`	Boolean	May be empty.
Source file`source_file`	Text

Traceability

Datasetbr-ibge-brecha-internet

CountryBrazil

Backends3_catalog

TopicMacro indicators

ExperienceCharts and records

Data through2025

NormalizedOct 8, 2026

Rows9,072

Official source

Comparison limits

Households and residents with and without internet use, by state and urban/rural area. Survey estimates rather than technical network coverage. Thousands of households/people are converted to units. Search a territory or category. Select one indicator, geography and breakdown before comparing; totals overlap their components.

Notices

Households and residents with and without internet use, by state and urban/rural area. Survey estimates rather than technical network coverage. Thousands of households/people are converted to units. Search a territory or category. Select one indicator, geography and breakdown before comparing; totals overlap their components.