Todos os datasets do QoG acessiveis via pyqog, com links para codebooks em PDF.
O Quality of Government Institute disponibiliza cinco datasets principais, cada um disponivel nos formatos time-series (ts) e cross-sectional (cs).
| Dataset | Prefixo | Parametro pyqog | Descricao |
|---|---|---|---|
| Basic | bas |
"basic" |
Subconjunto selecionado de variaveis do QoG Standard. Ideal para ensino e analises rapidas. |
| Standard | std |
"standard" |
Dataset completo com centenas de variaveis de diversas fontes internacionais. O mais abrangente. |
| OECD | oecd |
"oecd" |
Dados especificos para paises membros da OCDE, com variaveis adicionais pertinentes. |
| Environmental Indicators | ei |
"environmental" |
Indicadores ambientais e de sustentabilidade de governanca. |
| Social Policy | soc |
"social_policy" |
Dados sobre politicas sociais, bem-estar e sistemas de protecao social. |
O QoG Basic Dataset e um subconjunto do QoG Standard, contendo uma selecao das variaveis mais utilizadas em pesquisa comparativa. E ideal para estudantes e para analises exploratorias que nao necessitam do conjunto completo de variaveis.
Prefixo: bas | Formatos: time-series (ts), cross-sectional (cs)
Codebook atual: codebook_bas_jan26.pdf
# Baixar QoG Basic
df = pyqog.read_qog(which_data="basic") # time-series
df = pyqog.read_qog(which_data="basic", data_type="cross-sectional") # cross-sectionalO QoG Standard Dataset e o dataset mais completo, contendo centenas de variaveis de diversas fontes internacionais como Banco Mundial, ONU, Transparency International, Freedom House, V-Dem, entre muitas outras. Cobre temas como democracia, corrupcao, economia, saude, educacao e meio ambiente.
Prefixo: std | Formatos: time-series (ts), cross-sectional (cs)
Codebook atual: codebook_std_jan26.pdf
# Baixar QoG Standard
df = pyqog.read_qog(which_data="standard") # time-series
df = pyqog.read_qog(which_data="standard", data_type="cross-sectional") # cross-sectionalO QoG OECD Dataset contem dados especificos para os paises membros da Organizacao para a Cooperacao e Desenvolvimento Economico (OCDE). Inclui variaveis adicionais que so estao disponiveis para esse grupo de paises.
Prefixo: oecd | Formatos: time-series (ts), cross-sectional (cs)
Codebook atual: codebook_oecd_jan26.pdf
# Baixar QoG OECD
df = pyqog.read_qog(which_data="oecd") # time-series
df = pyqog.read_qog(which_data="oecd", data_type="cross-sectional") # cross-sectionalO QoG Environmental Indicators Dataset foca em indicadores ambientais e de sustentabilidade, incluindo variaveis sobre emissoes, energia, recursos naturais e politicas ambientais.
Prefixo: ei | Formatos: time-series (ts), cross-sectional (cs)
Codebook atual: codebook_ei_jan26.pdf
# Baixar QoG Environmental
df = pyqog.read_qog(which_data="environmental") # time-series
df = pyqog.read_qog(which_data="environmental", data_type="cross-sectional") # cross-sectionalAbaixo estao os links diretos para os codebooks em PDF de todas as versoes e datasets. Os codebooks descrevem cada variavel do dataset em detalhe, incluindo fonte, periodo de cobertura e definicoes.
Nota: A versao atual (Jan 2026) utiliza o servidor principal
(qogdata.pol.gu.se/data/). Versoes anteriores utilizam o servidor de arquivo
(qogdata.pol.gu.se/dataarchive/). Nem todos os codebooks estao disponiveis
para todas as combinacoes de dataset e versao.
bas)| Versao | Identificador | Codebook PDF |
|---|---|---|
| Atual Jan 2026 | jan26 |
codebook_bas_jan26.pdf |
| Jan 2025 | jan25 |
codebook_bas_jan25.pdf |
| Jan 2024 | jan24 |
codebook_bas_jan24.pdf |
| Jan 2023 | jan23 |
codebook_bas_jan23.pdf |
| Jan 2022 | jan22 |
codebook_bas_jan22.pdf |
| Jan 2021 | jan21 |
codebook_bas_jan21.pdf |
| Jan 2020 | jan20 |
codebook_bas_jan20.pdf |
| Jan 2019 | jan19 |
codebook_bas_jan19.pdf |
| Jan 2018 | jan18 |
codebook_bas_jan18.pdf |
| Jan 2017 | jan17 |
codebook_bas_jan17.pdf |
| Jan 2016 | jan16 |
codebook_bas_jan16.pdf |
| Jan 2015 | jan15 |
codebook_bas_jan15.pdf |
| Jan 2014 | jan14 |
codebook_bas_jan14.pdf |
| Aug 2013 | 30aug13 |
codebook_bas_30aug13.pdf |
| May 2012 | 21may12 |
codebook_bas_21may12.pdf |
| Apr 2011 | 6apr11 |
codebook_bas_6apr11.pdf |
| May 2010 | 27may10 |
codebook_bas_27may10.pdf |
| Sep 2009 | 17sep09 |
codebook_bas_17sep09.pdf |
| May 2008 | 15may08 |
codebook_bas_15may08.pdf |
std)| Versao | Identificador | Codebook PDF |
|---|---|---|
| Atual Jan 2026 | jan26 |
codebook_std_jan26.pdf |
| Jan 2025 | jan25 |
codebook_std_jan25.pdf |
| Jan 2024 | jan24 |
codebook_std_jan24.pdf |
| Jan 2023 | jan23 |
codebook_std_jan23.pdf |
| Jan 2022 | jan22 |
codebook_std_jan22.pdf |
| Jan 2021 | jan21 |
codebook_std_jan21.pdf |
| Jan 2020 | jan20 |
codebook_std_jan20.pdf |
| Jan 2019 | jan19 |
codebook_std_jan19.pdf |
| Jan 2018 | jan18 |
codebook_std_jan18.pdf |
| Jan 2017 | jan17 |
codebook_std_jan17.pdf |
| Jan 2016 | jan16 |
codebook_std_jan16.pdf |
| Jan 2015 | jan15 |
codebook_std_jan15.pdf |
| Jan 2014 | jan14 |
codebook_std_jan14.pdf |
| Aug 2013 | 30aug13 |
codebook_std_30aug13.pdf |
| May 2012 | 21may12 |
codebook_std_21may12.pdf |
| Apr 2011 | 6apr11 |
codebook_std_6apr11.pdf |
| May 2010 | 27may10 |
codebook_std_27may10.pdf |
| Sep 2009 | 17sep09 |
codebook_std_17sep09.pdf |
| May 2008 | 15may08 |
codebook_std_15may08.pdf |
oecd)| Versao | Identificador | Codebook PDF |
|---|---|---|
| Atual Jan 2026 | jan26 |
codebook_oecd_jan26.pdf |
| Jan 2025 | jan25 |
codebook_oecd_jan25.pdf |
| Jan 2024 | jan24 |
codebook_oecd_jan24.pdf |
| Jan 2023 | jan23 |
codebook_oecd_jan23.pdf |
| Jan 2022 | jan22 |
codebook_oecd_jan22.pdf |
| Jan 2021 | jan21 |
codebook_oecd_jan21.pdf |
| Jan 2020 | jan20 |
codebook_oecd_jan20.pdf |
| Jan 2019 | jan19 |
codebook_oecd_jan19.pdf |
| Jan 2018 | jan18 |
codebook_oecd_jan18.pdf |
| Jan 2017 | jan17 |
codebook_oecd_jan17.pdf |
| Jan 2016 | jan16 |
codebook_oecd_jan16.pdf |
| Jan 2015 | jan15 |
codebook_oecd_jan15.pdf |
| Jan 2014 | jan14 |
codebook_oecd_jan14.pdf |
| Aug 2013 | 30aug13 |
codebook_oecd_30aug13.pdf |
| May 2012 | 21may12 |
codebook_oecd_21may12.pdf |
| Apr 2011 | 6apr11 |
codebook_oecd_6apr11.pdf |
| May 2010 | 27may10 |
codebook_oecd_27may10.pdf |
| Sep 2009 | 17sep09 |
codebook_oecd_17sep09.pdf |
| May 2008 | 15may08 |
codebook_oecd_15may08.pdf |
ei)| Versao | Identificador | Codebook PDF |
|---|---|---|
| Atual Jan 2026 | jan26 |
codebook_ei_jan26.pdf |
| Jan 2025 | jan25 |
codebook_ei_jan25.pdf |
| Jan 2024 | jan24 |
codebook_ei_jan24.pdf |
| Jan 2023 | jan23 |
codebook_ei_jan23.pdf |
| Jan 2022 | jan22 |
codebook_ei_jan22.pdf |
| Jan 2021 | jan21 |
codebook_ei_jan21.pdf |
| Jan 2020 | jan20 |
codebook_ei_jan20.pdf |
| Jan 2019 | jan19 |
codebook_ei_jan19.pdf |
| Jan 2018 | jan18 |
codebook_ei_jan18.pdf |
| Jan 2017 | jan17 |
codebook_ei_jan17.pdf |
| Jan 2016 | jan16 |
codebook_ei_jan16.pdf |
| Jan 2015 | jan15 |
codebook_ei_jan15.pdf |
| Jan 2014 | jan14 |
codebook_ei_jan14.pdf |
| Aug 2013 | 30aug13 |
codebook_ei_30aug13.pdf |
| May 2012 | 21may12 |
codebook_ei_21may12.pdf |
| Apr 2011 | 6apr11 |
codebook_ei_6apr11.pdf |
| May 2010 | 27may10 |
codebook_ei_27may10.pdf |
| Sep 2009 | 17sep09 |
codebook_ei_17sep09.pdf |
| May 2008 | 15may08 |
codebook_ei_15may08.pdf |
soc)| Versao | Identificador | Codebook PDF |
|---|---|---|
| Atual Jan 2026 | jan26 |
codebook_soc_jan26.pdf |
| Jan 2025 | jan25 |
codebook_soc_jan25.pdf |
| Jan 2024 | jan24 |
codebook_soc_jan24.pdf |
| Jan 2023 | jan23 |
codebook_soc_jan23.pdf |
| Jan 2022 | jan22 |
codebook_soc_jan22.pdf |
| Jan 2021 | jan21 |
codebook_soc_jan21.pdf |
| Jan 2020 | jan20 |
codebook_soc_jan20.pdf |
| Jan 2019 | jan19 |
codebook_soc_jan19.pdf |
| Jan 2018 | jan18 |
codebook_soc_jan18.pdf |
| Jan 2017 | jan17 |
codebook_soc_jan17.pdf |
| Jan 2016 | jan16 |
codebook_soc_jan16.pdf |
| Jan 2015 | jan15 |
codebook_soc_jan15.pdf |
| Jan 2014 | jan14 |
codebook_soc_jan14.pdf |
| Aug 2013 | 30aug13 |
codebook_soc_30aug13.pdf |
| May 2012 | 21may12 |
codebook_soc_21may12.pdf |
| Apr 2011 | 6apr11 |
codebook_soc_6apr11.pdf |
| May 2010 | 27may10 |
codebook_soc_27may10.pdf |
| Sep 2009 | 17sep09 |
codebook_soc_17sep09.pdf |
| May 2008 | 15may08 |
codebook_soc_15may08.pdf |
import pyqog
# Obter URL do codebook para qualquer dataset e versao
url = pyqog.get_codebook_url("standard", 2026)
print(url) # https://www.qogdata.pol.gu.se/data/codebook_std_jan26.pdf
url = pyqog.get_codebook_url("basic", 2020)
print(url) # https://www.qogdata.pol.gu.se/dataarchive/codebook_bas_jan20.pdfRecursos oficiais do Quality of Government Institute:
Ferramenta interativa para buscar e explorar variaveis nos datasets do QoG.
Acessar Data FinderSite oficial do Quality of Government Institute, Universidade de Gotemburgo.
Visitar Site
QoG Social Policy Dataset
Descricao
O QoG Social Policy Dataset contem dados sobre politicas sociais, sistemas de bem-estar, protecao social, gastos sociais e indicadores relacionados.
Prefixo:
soc| Formatos: time-series (ts), cross-sectional (cs)Codebook atual: codebook_soc_jan26.pdf