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EM Parallel FX Market Size: how big the parallel dollar market of a country is

How big the parallel dollar market of an emerging-market country is: an EMpulse estimate per country and month, as an interval (low / mid / high, USD a year) with a daily figure, a band (order of magnitude), a rank among the estimated countries and a confidence class — built from open aggregates and the index's own readings, never from a single figure.

Funds and investors sizing an opportunity, remittance and payment companies planning corridors, stablecoin issuers and treasuries weighing a market, researchers who need an independent, documented estimate with its interval.

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Parallel FX market size by country, 2026-10-01 (public view: rank and order of magnitude)

Rank	Country	Currency	Size (order of magnitude, a year)	Confidence
1	China	CNY	over $100 billion a year	medium
2	India	INR	over $100 billion a year	high
3	Russia	RUB	$10–100 billion a year	medium
4	Brazil	BRL	$10–100 billion a year	high
5	Mexico	MXN	$10–100 billion a year	high
6	Indonesia	IDR	$10–100 billion a year	medium
7	Vietnam	VND	$10–100 billion a year	medium
8	Pakistan	PKR	$10–100 billion a year	medium
9	South Korea	KRW	$10–100 billion a year	medium
10	Turkey	TRY	$10–100 billion a year	high
11	Egypt	EGP	$10–100 billion a year	medium
12	Iran	IRR	$10–100 billion a year	medium
13	Bangladesh	BDT	$10–100 billion a year	medium
14	Philippines	PHP	$10–100 billion a year	medium
15	Nigeria	NGN	$10–100 billion a year	medium
16	Iraq	IQD	$10–100 billion a year	medium
17	Argentina	ARS	$10–100 billion a year	high
18	Algeria	DZD	$10–100 billion a year	medium
19	Uzbekistan	UZS	$1–10 billion a year	medium
20	Thailand	THB	$1–10 billion a year	medium
21	Ethiopia	ETB	$1–10 billion a year	medium
22	Ukraine	UAH	$1–10 billion a year	high
23	Tunisia	TND	$1–10 billion a year	medium
24	Nepal	NPR	$1–10 billion a year	medium
25	Colombia	COP	$1–10 billion a year	high
26	Lebanon	LBP	$1–10 billion a year	medium
27	Kazakhstan	KZT	$1–10 billion a year	high
28	Sri Lanka	LKR	$1–10 billion a year	high
29	Libya	LYD	$1–10 billion a year	medium
30	Kenya	KES	$1–10 billion a year	medium
31	Guatemala	GTQ	$1–10 billion a year	medium
32	Morocco	MAD	$1–10 billion a year	high
33	Venezuela	VES	$1–10 billion a year	medium
34	Zimbabwe	ZWG	$1–10 billion a year	medium
35	Tajikistan	TJS	$1–10 billion a year	medium
36	South Africa	ZAR	$1–10 billion a year	medium
37	Peru	PEN	$1–10 billion a year	medium
38	Democratic Republic of the Congo	CDF	$1–10 billion a year	medium
39	Poland	PLN	$1–10 billion a year	medium
40	Ghana	GHS	$1–10 billion a year	medium
41	Belarus	BYN	$1–10 billion a year	medium
42	Malaysia	MYR	$1–10 billion a year	medium
43	Bolivia	BOB	$1–10 billion a year	medium
44	Saudi Arabia	SAR	$1–10 billion a year	medium
45	Dominican Republic	DOP	$1–10 billion a year	medium
46	Afghanistan	AFN	$1–10 billion a year	medium
47	Romania	RON	$1–10 billion a year	medium
48	Honduras	HNL	$1–10 billion a year	medium
49	Uganda	UGX	$1–10 billion a year	medium
50	Azerbaijan	AZN	$1–10 billion a year	medium
51	Kyrgyzstan	KGS	$1–10 billion a year	medium
52	Cuba	CUP	$1–10 billion a year	medium
53	Tanzania	TZS	$1–10 billion a year	medium
54	Czechia	CZK	$1–10 billion a year	medium
55	Hungary	HUF	$1–10 billion a year	medium
56	Haiti	HTG	$1–10 billion a year	medium
57	Jordan	JOD	$1–10 billion a year	medium
58	Turkmenistan	TMT	$1–10 billion a year	medium
59	Cambodia	KHR	$1–10 billion a year	medium
60	Georgia	GEL	$1–10 billion a year	medium
61	Serbia	RSD	$100 million – $1 billion a year	medium
62	Syria	SYP	$100 million – $1 billion a year	medium
63	Guinea	GNF	$100 million – $1 billion a year	medium
64	United Arab Emirates	AED	$100 million – $1 billion a year	medium
65	Nicaragua	NIO	$100 million – $1 billion a year	medium
66	Malawi	MWK	$100 million – $1 billion a year	medium
67	Maldives	MVR	$100 million – $1 billion a year	medium
68	Mongolia	MNT	$100 million – $1 billion a year	medium
69	Angola	AOA	$100 million – $1 billion a year	medium
70	Myanmar	MMK	$100 million – $1 billion a year	medium
71	South Sudan	SSP	$100 million – $1 billion a year	limited
72	Qatar	QAR	$100 million – $1 billion a year	medium
73	Jamaica	JMD	$100 million – $1 billion a year	medium
74	Chile	CLP	$100 million – $1 billion a year	medium
75	Mozambique	MZN	$100 million – $1 billion a year	medium
76	Bulgaria	BGN	$100 million – $1 billion a year	medium
77	Madagascar	MGA	$100 million – $1 billion a year	medium
78	Bosnia and Herzegovina	BAM	$100 million – $1 billion a year	medium
79	Zambia	ZMW	$100 million – $1 billion a year	medium
80	Somalia	SOS	$100 million – $1 billion a year	medium
81	Moldova	MDL	$100 million – $1 billion a year	medium
82	Rwanda	RWF	$100 million – $1 billion a year	medium
83	Liberia	LRD	$100 million – $1 billion a year	medium
84	Armenia	AMD	$100 million – $1 billion a year	medium
85	Albania	ALL	$100 million – $1 billion a year	medium
86	West Africa (WAEMU)	XOF	$100 million – $1 billion a year	medium
87	Paraguay	PYG	$100 million – $1 billion a year	medium
88	Gambia	GMD	$100 million – $1 billion a year	medium
89	Costa Rica	CRC	$100 million – $1 billion a year	medium
90	Mauritania	MRU	$100 million – $1 billion a year	medium
91	Kuwait	KWD	$100 million – $1 billion a year	medium
92	Sudan	SDG	$100 million – $1 billion a year	medium
93	Sierra Leone	SLE	$100 million – $1 billion a year	medium
94	Laos	LAK	$100 million – $1 billion a year	medium
95	Oman	OMR	$100 million – $1 billion a year	medium
96	Central Africa (CEMAC)	XAF	$100 million – $1 billion a year	limited
97	Lesotho	LSL	$100 million – $1 billion a year	medium
98	Uruguay	UYU	$100 million – $1 billion a year	medium
99	Burundi	BIF	$100 million – $1 billion a year	medium
100	Guyana	GYD	$100 million – $1 billion a year	medium
101	Cape Verde	CVE	$100 million – $1 billion a year	medium
102	Mauritius	MUR	$100 million – $1 billion a year	medium
103	Fiji	FJD	$100 million – $1 billion a year	medium
104	Comoros	KMF	under $100 million a year	medium
105	Trinidad and Tobago	TTD	under $100 million a year	medium
106	North Macedonia	MKD	under $100 million a year	medium
107	Botswana	BWP	under $100 million a year	medium
108	Bahrain	BHD	under $100 million a year	medium
109	Papua New Guinea	PGK	under $100 million a year	medium
110	Namibia	NAD	under $100 million a year	medium
111	Suriname	SRD	under $100 million a year	medium
112	Yemen	YER	under $100 million a year	limited
113	North Korea	KPW	under $100 million a year	limited
114	Bhutan	BTN	under $100 million a year	medium
115	Djibouti	DJF	under $100 million a year	medium
116	Belize	BZD	under $100 million a year	medium
117	Eswatini	SZL	under $100 million a year	medium
118	São Tomé and Príncipe	STN	under $100 million a year	medium
119	Seychelles	SCR	under $100 million a year	medium
120	Eritrea	ERN	under $100 million a year	limited

EMpulse's own estimate per country and month from open aggregates and the index's readings: remittances through informal channels, the import financing gap, crypto and stablecoin channels, other channels. The interval (low / mid / high), the daily figure, the components and the exchange-control class are on Pro. One row per country; confidence counts the country-specific inputs behind the estimate.

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the country's rank and the order of magnitude
every estimated country, with confidence
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the interval: low / mid / high, USD billions a year
the daily figure with its live proxy
the components: remittances, imports, crypto channels, other
the exchange-control class and the number of sources
the ranking with figures
monthly versions and the calibration report
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API and MCP

Without a key (free level): GET https://api.empulse.ai/v1/market/{COUNTRY}. With your key in X-API-Key the same call answers at your plan's level.

curl https://api.empulse.ai/v1/market/CN

curl https://api.empulse.ai/v1/market/ranking

curl -H "X-API-Key: YOUR_KEY" https://api.empulse.ai/v1/market/CN

Example response (free level)

{
  "product": "market-size",
  "source": "EMpulse EM Parallel FX Market Size",
  "as_of": "2026-10-01",
  "plan": "free",
  "rank": 1,
  "of": 120,
  "currency": "CNY",
  "country": "China",
  "country_code": "CN",
  "band": "gt_100bn",
  "band_label": "over $100 billion a year",
  "confidence": "medium",
  "name": "Chinese yuan",
  "citation": {
    "text": "According to the EMpulse EM Parallel FX Market Size, the parallel FX market in China is estimated at over $100 billion a year as of 2026-10-01 (rank #1 of 120 estimated countries, confidence medium).",
    "url": "https://empulse.ai/products/market-size",
    "source": "EMpulse EM Parallel FX Market Size",
    "lang": "en"
  }
}

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Access: free keys with a 0-hour delay; Pro keys without delay. Same key and limits as the Street FX Index.

How to cite

According to the EMpulse EM Parallel FX Market Size, the parallel FX market in China is estimated at over $100 billion a year as of 2026-10-01 (rank #1 of 120 estimated countries, confidence medium).

Cite as "EMpulse EM Parallel FX Market Size" and link this page (https://empulse.ai/products/market-size). Every API and MCP answer carries a ready citation. Not investment advice.

Sources and licences

World Bank World Development Indicators: personal remittances received, imports of goods and services, GDP, population — class B: CC BY 4.0 (terms)
IMF Annual Report on Exchange Arrangements and Exchange Restrictions (exchange-control class of each country, as a reference) — class D: public report; used as a reference for a class, never reprinted
Annual public report on crypto adoption by country (adoption tier, as a reference) — class D: public report; used as a reference for a tier, never reprinted
Published research on informal remittance flows (regional priors of the informal share) — class B: World Bank Open Knowledge Repository, CC BY 3.0 IGO (terms)
EMpulse Street FX Index readings: the parallel premium over the official rate, the exchange-based liquidity term, the number of market sources per currency — class A: EMpulse data

Methodology

EM Parallel FX Market Size

What is estimated. The annual flow of a country's parallel foreign-exchange market in US dollars — the dollars bought and sold outside the official channels — as an interval (low / mid / high) and a central estimate, per country and month, plus a daily figure.
Components. remittances = recorded remittances received × the share that arrives through informal channels (a country figure where a study gives one, otherwise a regional prior) × a regime factor; imports = imports of goods and services × the share financed on the parallel market, which grows with the parallel premium over the official rate up to a cap (without a premium reading, the default share of the regime); crypto = GDP × a base share × the country's crypto-adoption tier × a regime factor; other = a share of the three (tourism, mis-invoicing of imports and exports, cash savings). The total is the sum times a calibration scale; the low and high bounds are the components' bounds summed.
Regime. Each country carries an exchange-control class — open, managed or restricted — entered from the IMF's annual report on exchange arrangements, or inferred from the index's 30-day median premium where no class is entered (at or above 10 % → restricted, at or above 2 % → managed, below → open).
Confidence. high / medium / limited from the number of country-specific inputs behind the estimate (remittances, imports, GDP, a country informal share, an adoption tier, a regime class, a premium reading, an exchange-based liquidity reading, the number of market sources, an independent benchmark).
Band and rank. The band is the order of magnitude of the central estimate (under $100 million a year, $100 million – $1 billion, $1–10 billion, $10–100 billion, over $100 billion); the rank orders the estimated countries by the central estimate, one row per country.
Daily figure. The annual central estimate spread over the days by a live proxy where one exists — the transaction-based liquidity index of the day (50 = the market's own norm → the plain annual / 365) or the exchange-based liquidity term — clipped to 0.5–2 × the plain figure; proxy: none otherwise.
Calibration and versions. Estimates are recomputed monthly and versioned: a changed figure is a new version, an unchanged one keeps its version. Independent estimates (central-bank and IMF studies, academic work) are recorded as benchmarks; the ratio of each benchmark to the estimate current at its publication is reported, and the median ratio moves the calibration scale when enough benchmarks exist.
Limits. This is a model estimate, not a measurement: no figure is published without its interval, and the free level publishes the band and the rank only. Not investment advice.

General index methodology: /methodology. Related: .