The Worldwide Governance Indicators, 2023 Update
Ayumu Tanaka
2024-05-25
1 The Worldwide Governance Indicators, 2023 Update
The Worldwide Governance Indicators (WGI) are designed to assess broad patterns in perceptions of governance across countries and over time.
The WGI aggregate data from more than 30 think tanks, international organizations, nongovernmental organizations, and private firms across the world.
The WGI feature six aggregate governance indicators for over 200 countries and territories over the period 1996–2022:
- Voice and Accountability
- Political Stability and Absence of Violence/Terrorism
- Government Effectiveness
- Regulatory Quality
- Rule of Law
- Control of Corruption
The WGI are based on a comprehensive review of over 30 data sources, including surveys of households, firms, and experts in the public, private, and nonprofit sectors.
The WGI are available at the World Bank’s website.
2 Load the data
library(rio)
WGI <- import("Data_raw/wgidataset-stata/wgidataset.dta")3 Describe the data
library(gtsummary)
library(dplyr)
# Describe the data
WGI %>%
select(-code) %>%
select(-countryname) %>%
tbl_summary()| Characteristic | N = 5,1361 |
|---|---|
| year | 2,011 (2,005, 2,016) |
| Voice and Accountability, Estimate | 0.05 (-0.82, 0.91) |
| Unknown | 161 |
| Voice and Accountability, Standard Error | 0.14 (0.13, 0.20) |
| Unknown | 161 |
| Voice and Accountability, Number of Sources | 10.0 (6.0, 13.0) |
| Unknown | 161 |
| Voice and Accountability, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 161 |
| Voice and Accountability, Percentile Rank of Lower Bound of 90% Confidence Inter | 41 (17, 65) |
| Unknown | 161 |
| Voice and Accountability, Percentile Rank of Upper Bound of 90% Confidence Inter | 57 (31, 89) |
| Unknown | 161 |
| Political Stability and Absence of Violence/Terrorism, Estimate | 0.11 (-0.64, 0.85) |
| Unknown | 170 |
| Political Stability and Absence of Violence/Terrorism, Standard Error | 0.25 (0.23, 0.31) |
| Unknown | 170 |
| Political Stability and Absence of Violence/Terrorism, Number of Sources | 6.00 (4.00, 7.00) |
| Unknown | 170 |
| Political Stability and Absence of Violence/Terrorism, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 170 |
| Political Stability and Absence of Violence/Terrorism, Percentile Rank of Lower | 34 (14, 58) |
| Unknown | 170 |
| Political Stability and Absence of Violence/Terrorism, Percentile Rank of Upper | 64 (38, 95) |
| Unknown | 170 |
| Government Effectiveness, Estimate | -0.14 (-0.75, 0.76) |
| Unknown | 230 |
| Government Effectiveness, Standard Error | 0.22 (0.20, 0.26) |
| Unknown | 230 |
| Government Effectiveness, Number of Sources | 7.0 (3.0, 8.0) |
| Unknown | 230 |
| Government Effectiveness, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 230 |
| Government Effectiveness, Percentile Rank of Lower Bound of 90% Confidence Inter | 34 (12, 63) |
| Unknown | 230 |
| Government Effectiveness, Percentile Rank of Upper Bound of 90% Confidence Inter | 62 (40, 85) |
| Unknown | 230 |
| Regulatory Quality, Estimate | -0.11 (-0.72, 0.81) |
| Unknown | 228 |
| Regulatory Quality, Standard Error | 0.21 (0.19, 0.26) |
| Unknown | 228 |
| Regulatory Quality, Number of Sources | 7.00 (4.00, 9.00) |
| Unknown | 228 |
| Regulatory Quality, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 228 |
| Regulatory Quality, Percentile Rank of Lower Bound of 90% Confidence Interval (0 | 34 (13, 64) |
| Unknown | 228 |
| Regulatory Quality, Percentile Rank of Upper Bound of 90% Confidence Interval (0 | 62 (40, 86) |
| Unknown | 228 |
| Rule of Law, Estimate | -0.13 (-0.78, 0.83) |
| Unknown | 116 |
| Rule of Law, Standard Error | 0.17 (0.15, 0.21) |
| Unknown | 116 |
| Rule of Law, Number of Sources | 10.0 (6.0, 13.0) |
| Unknown | 116 |
| Rule of Law, Percentile Rank (0-100) | 50 (25, 76) |
| Unknown | 116 |
| Rule of Law, Percentile Rank of Lower Bound of 90% Confidence Interval (0-100) | 38 (14, 62) |
| Unknown | 116 |
| Rule of Law, Percentile Rank of Upper Bound of 90% Confidence Interval (0-100) | 58 (36, 86) |
| Unknown | 116 |
| Control of Corruption, Estimate | -0.22 (-0.78, 0.74) |
| Unknown | 206 |
| Control of Corruption, Standard Error | 0.17 (0.15, 0.23) |
| Unknown | 206 |
| Control of Corruption, Number of Sources | 8.0 (4.0, 11.0) |
| Unknown | 206 |
| Control of Corruption, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 206 |
| Control of Corruption, Percentile Rank of Lower Bound of 90% Confidence Interval | 35 (13, 64) |
| Unknown | 206 |
| Control of Corruption, Percentile Rank of Upper Bound of 90% Confidence Interval | 59 (38, 83) |
| Unknown | 206 |
| 1 Median (IQR) | |
4 Select the necessary columns
# Keep code year pvr ger rqr rlr ccr
WGI <- WGI[, c("code", "year", "pvr", "ger", "rqr", "rlr", "ccr")]5 Write the data as CSV
using rio package
export(WGI, "Data_output/WGI.csv")6 Distribution of the observations
library(ggplot2)
# plot the distribution of the observations by year
WGI %>%
group_by(year) %>%
summarise(n = n()) %>%
ggplot(aes(x = year, y = n)) +
geom_bar(stat = "identity") +
labs(title = "Distribution of the observations by year",
x = "Year",
y = "Number of observations")
7 Describe the data again
library(gtsummary)
WGI %>%
select(-code) %>%
tbl_summary()| Characteristic | N = 5,1361 |
|---|---|
| year | 2,011 (2,005, 2,016) |
| Political Stability and Absence of Violence/Terrorism, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 170 |
| Government Effectiveness, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 230 |
| Regulatory Quality, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 228 |
| Rule of Law, Percentile Rank (0-100) | 50 (25, 76) |
| Unknown | 116 |
| Control of Corruption, Percentile Rank (0-100) | 50 (25, 75) |
| Unknown | 206 |
| 1 Median (IQR) | |