About this Dataset

Financial Access Survey (FAS)

The Financial Access Survey (FAS) dataset includes annual statistics on access to and usage of financial services. It showcases traditional (e.g., deposits, loans, and insurance) and non-traditional (mobile money and mobile and internet banking) financial service data. Selected data series are disaggregated by gender (male and female), the type of financial service provider (e.g., commercial banks, credit unions, and microfinance institutions) and the type of customer (e.g., households and SMEs). These cross-country comparable statistics help policymakers and financial institutions identify gaps in financial inclusion, design targeted interventions, and monitor progress towards enhancing access to financial services. The statistics are sourced from country authorities (mainly central banks and other regulators).

Keywords: financial inclusion,financial access,use of financial services,gender,mobile money,mobile and internet banking,digital financial services,UN SDG target 8.10.1.a,UN SDG target 8.10.1.b,UN SDG indicators,SME finance,Financial services,Inclusion and gender,Mobile banking.

Last updated: 2025-10-21T03:20:53.723527600Z.

Tables

CodeList CL COUNTRY

@imf.fas.codes_cl_country

5.88 kB
192 rows
2 columns

CREATE TABLE codes_cl_country (
  "code" VARCHAR,
  "description" VARCHAR
);

CodeList CL FAS TYPE OF TRANSFORMATION

@imf.fas.codes_cl_fas_type_of_transformation

2.75 kB
12 rows
2 columns

CREATE TABLE codes_cl_fas_type_of_transformation (
  "code" VARCHAR,
  "description" VARCHAR
);

CodeList CL FREQ

@imf.fas.codes_cl_freq

2.16 kB
1 row
2 columns

CREATE TABLE codes_cl_freq (
  "code" VARCHAR,
  "description" VARCHAR
);

Indicators

@imf.fas.indicators

14.06 kB
178 rows
13 columns

CREATE TABLE indicators (
  "indicator" VARCHAR,
  "series_name" VARCHAR,
  "unit" VARCHAR,
  "transformation" VARCHAR,
  "http_www_w3_org_2001_xmlschema_instance_type" VARCHAR,
  "fa_indicators" VARCHAR,
  "type_of_transformation" VARCHAR,
  "topic" VARCHAR,
  "counterpart_sector" VARCHAR,
  "instr_asset" VARCHAR,
  "accounting_entry" VARCHAR,
  "sex" VARCHAR,
  "key_indicator" VARCHAR
);

Observations

@imf.fas.observations

1.38 MB
155,025 rows
6 columns

CREATE TABLE observations (
  "country" VARCHAR,
  "indicator" VARCHAR,
  "type_of_transformation" VARCHAR,
  "frequency" VARCHAR,
  "time_period" BIGINT,
  "value" DOUBLE
);