Baselight

Identification For Development (ID4D) Data

Data on identity systems

@worldbank.identification_for_development_id4d_data

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About this Dataset

Identification For Development (ID4D) Data

The Identification for Development (ID4D) data presents a collection of indicators that are of relevance for the estimation of adult and child ID coverage and for understanding foundational ID systems' digital capabilities. The indicators have been compiled from multiple sources, including a specialized ID module included in the Global Findex survey and officially recognized international sources such as UNICEF. Although there is no single, globally recognized measure of having a ‘proof of legal identity’ that would cover children and adults at all ages or, of the digital capabilities of foundational ID systems, the combination of these indicators can help better understand where and what gaps in remain in accessing identification and, in turn, in accessing the services and transactions for which an official proof of identity is often required.

Tables

Children Under Age 5 Whose Births Are Registered, Total (%)

@worldbank.identification_for_development_id4d_data.birth_reg
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE birth_reg (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Children Under Age 5 Whose Births Are Registered, Female (%)

@worldbank.identification_for_development_id4d_data.birth_reg_1
  • 4.63 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE birth_reg_1 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Children Under Age 5 Whose Births Are Registered, Male (%)

@worldbank.identification_for_development_id4d_data.birth_reg_2
  • 4.63 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE birth_reg_2 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Participating In Elections, Total (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_elections_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_elections_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Using Financial Services, Total (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_finance_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_finance_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Receiving Financial Support, Total (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_gov_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_gov_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Applying For A Job, Total (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_job_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_job_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Receiving Medical Care, Total (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_med_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_med_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Challenge: Obtaining A SIM Card (% Of Population Ages 15+ Without An ID)

@worldbank.identification_for_development_id4d_data.diff_sim_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE diff_sim_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Total (% Of Population Ages 15+)

@worldbank.identification_for_development_id4d_data.has_eid
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Female (% Of Female Population Ages 15+)

@worldbank.identification_for_development_id4d_data.has_eid_1
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_1 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Urban (% Of Urban Population Ages 15+)

@worldbank.identification_for_development_id4d_data.has_eid_10
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_10 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Out Of The Workforce (% Of Population Ages 15+ Out Of The Workforce)

@worldbank.identification_for_development_id4d_data.has_eid_11
  • 4.89 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_11 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, In The Workforce (% Of Population Ages 15+ In The Workforce)

@worldbank.identification_for_development_id4d_data.has_eid_12
  • 4.89 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_12 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Male (% Of Male Population Ages 15+)

@worldbank.identification_for_development_id4d_data.has_eid_2
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_2 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Ages 15-24 (% Of Population Ages 15-24)

@worldbank.identification_for_development_id4d_data.has_eid_3
  • 4.89 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_3 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Ages 25+ (% Population Ages 25+)

@worldbank.identification_for_development_id4d_data.has_eid_4
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_4 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Primary (% Of Population Ages 15+ With Primary Education)

@worldbank.identification_for_development_id4d_data.has_eid_5
  • 4.87 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_5 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Secondary (% Of Population Ages 15+ With Secondary Education)

@worldbank.identification_for_development_id4d_data.has_eid_6
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_6 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Poorest 40% (% Of Population Ages 15+ In The Poorest 40%)

@worldbank.identification_for_development_id4d_data.has_eid_7
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_7 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Richest 60% (% Of Population Ages 15+ In The Richest 60%)

@worldbank.identification_for_development_id4d_data.has_eid_8
  • 4.9 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_8 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Have Online Digital ID, Rural (% Of Rural Population Ages 15+)

@worldbank.identification_for_development_id4d_data.has_eid_9
  • 4.88 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE has_eid_9 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Digital ID Verification (1=yes; 0= No)

@worldbank.identification_for_development_id4d_data.id_dig_auth
  • 4.43 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_dig_auth (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Online Digital Identity (1=yes; 0= No)

@worldbank.identification_for_development_id4d_data.id_dig_auth_rm
  • 4.46 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_dig_auth_rm (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Digital Data Use (1=yes; 0= No)

@worldbank.identification_for_development_id4d_data.id_dig_recs
  • 4.41 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_dig_recs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Total (% Of Population Ages 15+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Female (% Of Female Population Ages 15+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_1
  • 4.69 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_1 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Urban (% Of Urban Population Ages 15+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_10
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_10 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Out Of The Workforce (% Of Population Ages 15+ Out Of The Workforce With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_11
  • 4.75 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_11 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, In The Workforce (% Of Population Ages 15+ In The Workforce With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_12
  • 4.59 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_12 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Male (% Of Male Population Ages 15+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_2
  • 4.63 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_2 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Ages 15-24 (% Of Population Ages 15-24 With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_3
  • 4.76 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_3 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Ages 25+ (% Of Population Ages 25+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_4
  • 4.55 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_4 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Primary (% Of Population Ages 15+ With Primary Education And An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_5
  • 4.71 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_5 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Secondary (% Of Population Ages 15+ With Secondary Education And An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_6
  • 4.64 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_6 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Poorest 40% (% Of Population Ages 15+ In The Poorest 40% With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_7
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_7 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Richest 60% (% Of Population Ages 15+ In The Richest 60% With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_8
  • 4.62 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_8 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Foundational ID Has Been Used Without Permission For Illegal Purposes, Rural (% Of Rural Population Ages 15+ With An ID)

@worldbank.identification_for_development_id4d_data.id_misuse_s_9
  • 4.65 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_misuse_s_9 (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Ages 15-24 (% Of Population Ages 15-24)

@worldbank.identification_for_development_id4d_data.id_own_1524_zs
  • 7.31 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_1524_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Ages 25+ (% Of Population Ages 25+)

@worldbank.identification_for_development_id4d_data.id_own_25up_zs
  • 7.36 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_25up_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Birth Certification (%)

@worldbank.identification_for_development_id4d_data.id_own_brth_zs
  • 5.26 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_brth_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Poorest 40% (% Of Population Ages 15+ In The Poorest 40%)

@worldbank.identification_for_development_id4d_data.id_own_totl_40_zs
  • 7.4 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_40_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Richest 60% (% Of Population Ages 15+ In The Richest 60%)

@worldbank.identification_for_development_id4d_data.id_own_totl_60_zs
  • 7.38 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_60_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Female (% Of Female Population Ages 15+)

@worldbank.identification_for_development_id4d_data.id_own_totl_fe_zs
  • 7.39 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Male (% Of Male Population Ages 15+)

@worldbank.identification_for_development_id4d_data.id_own_totl_ma_zs
  • 7.41 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Out Of The Workforce (% Of Population Ages 15+ Out Of The Workforce)

@worldbank.identification_for_development_id4d_data.id_own_totl_ow_zs
  • 7.31 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_ow_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Primary Education Or Less (% Of Population Ages 15+ With Primary Education Or Less)

@worldbank.identification_for_development_id4d_data.id_own_totl_pr_zs
  • 7.27 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_pr_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Rural (% Of Rural Population Ages 15+)

@worldbank.identification_for_development_id4d_data.id_own_totl_ru_zs
  • 6.84 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_ru_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Secondary Education Or More (% Of Population Ages 15+ With Secondary Education Or More)

@worldbank.identification_for_development_id4d_data.id_own_totl_se_zs
  • 7.41 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_se_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

ID Ownership, Urban (% Of Urban Population Ages 15+)

@worldbank.identification_for_development_id4d_data.id_own_totl_ur_zs
  • 6.89 kB
  • 3,781 rows
  • 3 columns
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CREATE TABLE id_own_totl_ur_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

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