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Explore datasets for Chinese Taipei
Query thousands of Chinese Taipei statistics via Monitly API
GET
/api/datasets?country=TWN&limit=100{
"data": [
{
"id": 6762,
"dataset_name": "Account (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6763,
"dataset_name": "Account, female (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6764,
"dataset_name": "Account, urban (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6765,
"dataset_name": "Account, out of labor force (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6766,
"dataset_name": "Account, in labor force (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6767,
"dataset_name": "Account, male (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6768,
"dataset_name": "Account, young (% ages 15-24)",
"last_update": "2025-07-31"
},
{
"id": 6769,
"dataset_name": "Account, older (% age 25+)",
"last_update": "2025-07-31"
},
{
"id": 6770,
"dataset_name": "Account, primary education or less (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6771,
"dataset_name": "Account, secondary education or more (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6772,
"dataset_name": "Account, income, poorest 40% (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6773,
"dataset_name": "Account, income, richest 60% (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6774,
"dataset_name": "Account, rural (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 8189,
"dataset_name": "Core CPI,not seas.adj,,,",
"last_update": "2025-11-13"
},
{
"id": 8190,
"dataset_name": "Core CPI,seas.adj,,,",
"last_update": "2025-11-13"
},
{
"id": 8191,
"dataset_name": "CPI Price, nominal",
"last_update": "2025-11-13"
},
{
"id": 8192,
"dataset_name": "CPI Price, % y-o-y, median weighted, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8193,
"dataset_name": "CPI Price, nominal, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8194,
"dataset_name": "CPI Price, % y-o-y, nominal, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8233,
"dataset_name": "Imports Merchandise, Customs, current US$, millions",
"last_update": "2025-11-13"
},
{
"id": 8234,
"dataset_name": "Imports Merchandise, Customs, constant US$, millions",
"last_update": "2025-11-13"
},
{
"id": 8236,
"dataset_name": "Imports Merchandise, Customs, current US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8237,
"dataset_name": "Imports Merchandise, Customs, constant US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8238,
"dataset_name": "Imports Merchandise, Customs, Price, US$, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8803,
"dataset_name": "Official exchange rate, LCU per USD, period average",
"last_update": "2025-11-13"
},
{
"id": 8804,
"dataset_name": "Exchange rate, new LCU per USD extended backward, period average",
"last_update": "2025-11-13"
},
{
"id": 8805,
"dataset_name": "Exchange rate, old LCU per USD extended forward, period average",
"last_update": "2025-11-13"
},
{
"id": 8806,
"dataset_name": "Stock Markets, US$",
"last_update": "2025-11-13"
},
{
"id": 10945,
"dataset_name": "Exports Merchandise, Customs, current US$, millions",
"last_update": "2025-11-13"
},
{
"id": 10946,
"dataset_name": "Exports Merchandise, Customs, constant US$, millions",
"last_update": "2025-11-13"
},
{
"id": 10948,
"dataset_name": "Exports Merchandise, Customs, current US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 10949,
"dataset_name": "Exports Merchandise, Customs, constant US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 10950,
"dataset_name": "Exports Merchandise, Customs, Price, US$, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 11280,
"dataset_name": "No account because financial institutions are too far away (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11281,
"dataset_name": "No account because financial institutions are too far away (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11282,
"dataset_name": "No account because financial services are too expensive (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11283,
"dataset_name": "No account because financial services are too expensive (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11284,
"dataset_name": "No account because of a lack of necessary documentation (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11285,
"dataset_name": "No account because of a lack of trust in financial institutions (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11286,
"dataset_name": "No account because of a lack of trust in financial institutions (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11287,
"dataset_name": "No account because of religious reasons (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11288,
"dataset_name": "No account because of religious reasons (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11289,
"dataset_name": "No account because of insufficient funds (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11290,
"dataset_name": "No account because of insufficient funds (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11291,
"dataset_name": "Saved at a financial institution or using a mobile money account (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11292,
"dataset_name": "Saved at a financial institution or using a mobile money account, female (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11293,
"dataset_name": "Saved at a financial institution or using a mobile money account, urban (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11294,
"dataset_name": "Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11295,
"dataset_name": "Saved at a financial institution or using a mobile money account, in labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11296,
"dataset_name": "Saved at a financial institution or using a mobile money account, male (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11297,
"dataset_name": "Saved at a financial institution or using a mobile money account, young (% ages 15-24)",
"last_update": "2025-10-06"
},
{
"id": 11298,
"dataset_name": "Saved at a financial institution or using a mobile money account, older (% age 25+)",
"last_update": "2025-10-06"
},
{
"id": 11299,
"dataset_name": "Saved at a financial institution or using a mobile money account, primary education or less (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11300,
"dataset_name": "Saved at a financial institution or using a mobile money account, secondary education or more (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11301,
"dataset_name": "Saved at a financial institution or using a mobile money account, income, poorest 40% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11302,
"dataset_name": "Saved at a financial institution or using a mobile money account, income, richest 60% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11303,
"dataset_name": "Saved at a financial institution or using a mobile money account, rural (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11304,
"dataset_name": "Owns a debit card (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11305,
"dataset_name": "Owns a debit card, female (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11306,
"dataset_name": "Owns a debit card, urban (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11307,
"dataset_name": "Owns a debit card, out of labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11308,
"dataset_name": "Owns a debit card, in labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11309,
"dataset_name": "Owns a debit card, male (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11310,
"dataset_name": "Owns a debit card, young (% ages 15-24)",
"last_update": "2025-10-06"
},
{
"id": 11311,
"dataset_name": "Owns a debit card, older (% age 25+)",
"last_update": "2025-10-06"
},
{
"id": 11312,
"dataset_name": "Owns a debit card, primary education or less (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11313,
"dataset_name": "Owns a debit card, secondary education or more (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11314,
"dataset_name": "Owns a debit card, income, poorest 40% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11315,
"dataset_name": "Owns a debit card, income, richest 60% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 11316,
"dataset_name": "Owns a debit card, rural (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11317,
"dataset_name": "Received wages into an account: paid higher than expected fees (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11318,
"dataset_name": "Deposited money into a financial institution account 2 or more times a month (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11319,
"dataset_name": "Deposited money into a financial institution account 2 or more times a month (% who had deposited money, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 12061,
"dataset_name": "Foreign Reserves, Months Import Cover, Goods",
"last_update": "2025-11-13"
},
{
"id": 12062,
"dataset_name": "Has access to the Internet (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 12070,
"dataset_name": "Industrial Production, constant US$",
"last_update": "2025-11-13"
},
{
"id": 13259,
"dataset_name": "Made a digital merchant payment (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13260,
"dataset_name": "Made a digital merchant payment, female (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13261,
"dataset_name": "Made a digital merchant payment, urban (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13262,
"dataset_name": "Made a digital merchant payment, out of labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13263,
"dataset_name": "Made a digital merchant payment, in labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13264,
"dataset_name": "Made a digital merchant payment, male (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13265,
"dataset_name": "Made a digital merchant payment, young (% ages 15-24)",
"last_update": "2025-10-06"
},
{
"id": 13266,
"dataset_name": "Made a digital merchant payment, older (% age 25+)",
"last_update": "2025-10-06"
},
{
"id": 13267,
"dataset_name": "Made a digital merchant payment, primary education or less (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13268,
"dataset_name": "Made a digital merchant payment, secondary education or more (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13269,
"dataset_name": "Made a digital merchant payment, income, poorest 40% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13270,
"dataset_name": "Made a digital merchant payment, income, richest 60% (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13271,
"dataset_name": "Made a digital merchant payment, rural (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13364,
"dataset_name": "Mobile money account (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13365,
"dataset_name": "Mobile money account, female (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13366,
"dataset_name": "Mobile money account, urban (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13367,
"dataset_name": "Mobile money account, out of labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13368,
"dataset_name": "Mobile money account, in labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13369,
"dataset_name": "Mobile money account, male (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 13370,
"dataset_name": "Mobile money account, young (% ages 15-24)",
"last_update": "2025-10-06"
},
{
"id": 13371,
"dataset_name": "Mobile money account, older (% age 25+)",
"last_update": "2025-10-06"
},
{
"id": 13372,
"dataset_name": "Mobile money account, primary education or less (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13373,
"dataset_name": "Mobile money account, secondary education or more (% ages 15+)",
"last_update": "2025-10-06"
},
{
"id": 13374,
"dataset_name": "Mobile money account, income, poorest 40% (% ages 15+)",
"last_update": "2025-10-06"
}
],
"pagination": {
"total": 2990,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 2990 datasets for Chinese Taipei. Use limit parameter to get more."
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