About this Dataset

Global Financial Inclusion

The Global Financial Inclusion Database provides over 800 country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics: gender, age, education, income, and rural residence.

Covering more than 150 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk.

Tables

Connects To Internet Only Through Free WiFi, Poorest 40% (% Age 15+)

@worldbank.global_financial_inclusion.con29_7

4.15 kB
1,044 rows
3 columns

CREATE TABLE con29_7 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Connects To Internet Only Through Free WiFi, Richest 60% (% Age 15+)

@worldbank.global_financial_inclusion.con29_8

4.15 kB
1,044 rows
3 columns

CREATE TABLE con29_8 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Connects To Internet Only Through Free WiFi, Rural (% Age 15+)

@worldbank.global_financial_inclusion.con29_9

4.15 kB
1,044 rows
3 columns

CREATE TABLE con29_9 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Connects To Internet Only Through Free WiFi (% Internet Users, Age 15+)

@worldbank.global_financial_inclusion.con29_s

4.15 kB
1,044 rows
3 columns

CREATE TABLE con29_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money (% Age 15+)

@worldbank.global_financial_inclusion.con2a

4.75 kB
1,044 rows
3 columns

CREATE TABLE con2a (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Women (% Age 15+)

@worldbank.global_financial_inclusion.con2a_1

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_1 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Urban (% Age 15+)

@worldbank.global_financial_inclusion.con2a_10

4.37 kB
1,044 rows
3 columns

CREATE TABLE con2a_10 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Out Of Laborforce (% Age 15+)

@worldbank.global_financial_inclusion.con2a_11

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_11 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, In Laborforce (% Age 15+)

@worldbank.global_financial_inclusion.con2a_12

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_12 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Men (% Age 15+)

@worldbank.global_financial_inclusion.con2a_2

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_2 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Young (% Ages 15-24)

@worldbank.global_financial_inclusion.con2a_3

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_3 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Older (% Age 25+)

@worldbank.global_financial_inclusion.con2a_4

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_4 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Primary Education Or Less (% Age 15+)

@worldbank.global_financial_inclusion.con2a_5

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_5 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Secondary Education Or More (% Age 15+)

@worldbank.global_financial_inclusion.con2a_6

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_6 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Poorest 40% (% Age 15+)

@worldbank.global_financial_inclusion.con2a_7

4.37 kB
1,044 rows
3 columns

CREATE TABLE con2a_7 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Richest 60% (% Age 15+)

@worldbank.global_financial_inclusion.con2a_8

4.37 kB
1,044 rows
3 columns

CREATE TABLE con2a_8 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money, Rural (% Age 15+)

@worldbank.global_financial_inclusion.con2a_9

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_9 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Lack Of Money (% Without A Phone, Age 15+)

@worldbank.global_financial_inclusion.con2a_s

4.38 kB
1,044 rows
3 columns

CREATE TABLE con2a_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes (% Age 15+)

@worldbank.global_financial_inclusion.con2b

4.75 kB
1,044 rows
3 columns

CREATE TABLE con2b (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, Women (% Age 15+)

@worldbank.global_financial_inclusion.con2b_1

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_1 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, Urban (% Age 15+)

@worldbank.global_financial_inclusion.con2b_10

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_10 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, Out Of Laborforce (% Age 15+)

@worldbank.global_financial_inclusion.con2b_11

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_11 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, In Laborforce (% Age 15+)

@worldbank.global_financial_inclusion.con2b_12

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_12 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, Men (% Age 15+)

@worldbank.global_financial_inclusion.con2b_2

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_2 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

No Mobile Phone Due To Expensive Minutes, Young (% Ages 15-24)

@worldbank.global_financial_inclusion.con2b_3

4.13 kB
1,044 rows
3 columns

CREATE TABLE con2b_3 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);