Forecast

Forward macro projections

The prediction engine's forward view per country — baseline plus an optimistic/pessimistic band and a confidence interval, for every macro indicator we forecast. These are PROJECTIONS, not observations, generated from observed history. Pick a country, or read the JSON at GET /api/v1/forecast/country/{iso3}.

How to read this:Observeda real measured value from a named source.Derivedcomputed by Predictonomy from observed series using a reproducible method.AI readan AI interpretation of already-computed figures. Opinion, not a new data point.

Pick a country

Open a forecast

A country we hold no projections for returns an honest not-covered state.

Afghanistan Albania Algeria American Samoa Andorra Angola Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas, The Bahrain

Reliability

Which forecasts have been most reliable

Indicators and countries ranked by their realized track record — forecasts we published, scored against the actuals that have since landed. Lower error = more reliable. Backtested replays are ranked separately below, never blended in.

Realized track recordDerived2611 matured predictions · through 2026 · lower error = more reliable

Most reliable by indicator

#	Indicator	MAPE	Typical miss	n
1	Population Total	3%	±5,236,619.21	282
2	Govt debt / GDP	7%	±4.05	213
3	Imports Goods Services	8%	±3.22

Featured

United States — forecast

A live example. Open any country above for its own projections.

Forecast heldDerivedledger 51018ed

Real GDP growth — 2026 baseline projection

2.06

United States: forward projections across 18 macro indicators, horizons 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2034, 2035, 2036. These are projections, not observations — each carries an optimistic/pessimistic band and a confidence interval, anchored against the latest observed value where one is held.

Current account balance to GDP

Latest observed

Most reliable by country

#	Country	MAPE	Typical miss	n
1	EAS	3%	±187,884,640,917.49	7
2	IBT	3%	±154,384,529,955.4	7
3	LMY	3%	±133,666,199,927.25	7
4	MIC	3%	±112,131,226,868.38	7
5	IBD	3%	±114,906,931,235.87	7
6	EAP	4%	±78,778,037,062.62	7
7	TEA	4%	±78,681,423,475.36	7
8	IDA	5%	±34,542,898,897.87	8
9	Tanzania	5%	±250,533,846.21	11
10	MAE	6%	±118,336,247,212.82	8
11	HPC	6%	±10,991,503,657.81	8
12	IDX	6%	±9,183,088,521.85	9
13	NMQ	6%	±129,342,487,836.19	7
14	United States	7%	±71,873,270,217.01	9
15	LCN	7%	±11,006,542,892.92	8
16	Taiwan	7%	±7,922,669,217.79	8
17	EUQ	8%	±153,018,943,239.46	7
18	SAS	8%	±15,742,073,580.58	8
19	TSA	8%	±15,742,073,580.58	8
20	TLA	8%	±10,443,803,017.2	8
21	LTE	8%	±158,289,889,678.34	7
22	WEQ	9%	±109,222,096,831.25	7
23	NAC	9%	±147,060,670,201.65	5
24	LDC	9%	±7,749,876,085.61	8
25	AZQ	10%	±34,266,454,351.87	7
26	DMA	10%	±6,188,747.01	7
27	EAR	10%	±14,162,536,263.57	8
28	WHQ	10%	±216,242,613,635.7	7
29	SSF	10%	±31,054,143,478.05	8
30	TSS	10%	±31,054,143,478.05	8
31	SSQ	10%	±49,942,206,636.35	7
32	BIH	10%	±255,574,642.62	11
33	BEN	10%	±115,209,855.92	11
34	Brazil	11%	±25,435,734,567.55	12
35	AFQ	11%	±70,281,647,153.24	7
36	OAE	11%	±130,465,366,294.33	8
37	PST	11%	±395,167,015,922.89	7
38	IDB	11%	±32,282,565,781.45	6
39	Slovakia	11%	±351,557,912.24	12
40	APQ	11%	±346,156,406,528.05	7
41	UVK	11%	±126,488,878.17	8
42	IMN	11%	±7,363,109.2	4
43	NOR	11%	±11,035,453,369.22	12
44	LAC	12%	±2,910,785,913.71	8
45	EAQ	12%	±262,376,650,163.76	7
46	MUS	12%	±16,926,487.29	12
47	LUX	12%	±214,262,675.36	12
48	TEC	12%	±77,060,282,322.22	8
49	CBQ	12%	±2,582,819,025.7	7
50	SMR	12%	±9,702,541.92	9
51	PSS	12%	±75,190,996.76	5
52	OED	13%	±415,344,675,582.12	7
53	TMN	13%	±13,953,974,387.75	9
54	PRT	13%	±727,383,412.52	13
55	PRE	13%	±27,498,874,656.05	6
56	ECA	13%	±21,711,275,286.31	9
57	BGR	13%	±542,224,280.67	12
58	CEB	13%	±20,823,441,644.46	8
59	KEN	13%	±838,548,331.58	12
60	CYM	13%	±30,766,662	6
61	MAR	13%	±223,602,964.36	12
62	UGA	13%	±585,774,213.72	11
63	MNA	13%	±13,493,222,975.58	9
64	NRU	14%	±2,073,830.03	9
65	MNE	14%	±21,617,711.89	11
66	MLT	14%	±63,780,021.08	12
67	CHN	14%	±147,974,681,872.51	11
68	MYS	14%	±4,661,097,478.81	13
69	GTM	14%	±188,469,827.64	12
70	SVN	14%	±408,461,969.53	12
71	LTU	14%	±318,085,359.53	12
72	PER	15%	±3,833,250,608.58	12
73	CMR	15%	±242,659,344.93	11
74	SWE	15%	±4,722,275,791.24	12
75	UZB	15%	±3,070,950,918.31	15
76	NPL	15%	±95,947,273.59	12
77	Hong Kong	15%	±1,095,214,467.74	12
78	MKD	15%	±94,231,378.42	11
79	POL	15%	±1,866,330,754.62	12
80	ECS	16%	±255,986,812,220.69	8
81	NAQ	16%	±20,339,461,283.67	7
82	ALB	16%	±29,891,959.54	12
83	AFE	16%	±9,842,381,055.96	9
84	GEO	16%	±240,250,140.79	12
85	SRB	16%	±308,686,838.94	12
86	PRY	17%	±1,097,364,295.11	12
87	ESP	17%	±7,014,353,082.86	12
88	MLI	17%	±293,315,764.79	11
89	SSA	17%	±29,113,322,746.91	11
90	TUN	17%	±261,669,562.65	10
91	IDN	17%	±243,096,289.33	12
92	GRD	18%	±13,192,808.32	7
93	Türkiye	18%	±5,718,995,955.3	13
94	CAQ	18%	±22,940,212,655.87	7
95	GUY	18%	±1,246,518,976.18	8
96	CSS	18%	±132,810,570.39	5
97	SWZ	19%	±100,326,861.76	8
98	BHS	19%	±54,553,752.05	10
99	South Korea	19%	±29,634,351,909.02	12
100	XKX	19%	±112,200,239.54	7
101	LVA	19%	±186,328,509.41	12
102	GMB	19%	±29,826,038.97	11
103	DNK	19%	±1,720,415,483.03	13
104	ARM	20%	±120,535,045.79	12
105	UKR	20%	±316,911,289.27	12
106	SLE	20%	±86,905,911.89	11
107	IND	20%	±5,922,257,597.79	12
108	NLD	20%	±2,110,470,682.37	13
109	SUR	20%	±141,690,058	9
110	SMQ	21%	±94,098,916,872.56	6
111	BTN	21%	±15,469,158.44	11
112	CYP	21%	±63,280,229.03	12
113	SLV	21%	±117,578,522.72	12
114	JOR	21%	±148,377,969.08	9
115	LBR	22%	±22,810,257.79	8
116	FSM	22%	±1,029,198.12	9
117	PAK	22%	±2,887,586,296.2	12
118	SGP	22%	±3,122,334,950.78	12
119	RWA	22%	±147,355,666.51	11
120	GIN	23%	±1,353,645,657.65	11
121	KHM	23%	±31,987,222.89	11
122	Egypt	23%	±7,657,556,174.59	12
123	PHL	23%	±406,785,473.52	12
124	ROU	23%	±967,170,408.2	12
125	FRA	23%	±5,795,049,219.29	12
126	TGO	23%	±46,562,838.56	11
127	TON	23%	±1,531,771.93	12
128	DR Congo	23%	±2,391,281,264.37	11
129	DEU	24%	±20,280,215,286.77	12
130	United Kingdom	24%	±6,707,452,490.45	12
131	GNB	24%	±24,749,619.38	11
132	AFW	24%	±26,641,953,090.48	6
133	PIQ	24%	±413,265,667.61	7
134	EUU	24%	±150,397,003,864.53	8
135	NGA	25%	±22,176,275,429.61	8
136	PNG	25%	±420,222,957.31	8
137	VCT	25%	±5,594,122.09	8
138	KIR	25%	±3,221,219.2	10
139	Côte d'Ivoire	25%	±398,276,016.56	11
140	SAQ	26%	±7,776,135,039.12	7
141	BRB	26%	±4,050,533.69	9
142	DJI	26%	±632,039.91	11
143	SXM	26%	±943,467.98	4
144	NIC	27%	±140,506,103.33	12
145	TJK	27%	±175,243,225.12	11
146	MNG	27%	±290,965,083.65	13
147	URY	27%	±536,706,493.54	12
148	ETH	28%	±305,647,807.42	11
149	BEL	28%	±1,507,962,028.33	12
150	EDE	28%	±47,591,640,035.51	7
151	AZE	28%	±1,030,306,474.62	12
152	OSS	29%	±1,480,624,378.61	8
153	HRV	29%	±267,830,091.11	13
154	HTI	29%	±433,696,219.44	11
155	CHE	29%	±4,105,521,192.32	12
156	Moldova	29%	±44,457,066.35	12
157	KNA	30%	±10,695,214.69	7
158	SEQ	30%	±18,392,856,358.45	7
159	EMU	30%	±137,051,773,097.04	8
160	IRQ	30%	±3,556,021,099.47	11
161	BLR	32%	±873,907,471.72	12
162	AUS	32%	±23,145,833,594.79	12
163	ARB	32%	±10,150,226,919.75	8
164	AND	33%	±22,332,341.76	8
165	CRI	33%	±428,385,225.45	12
166	MEX	33%	±21,172,126,154.56	12
167	ABW	33%	±2,097,461.15	8
168	EST	34%	±161,095,805.5	12
169	SST	34%	±1,718,877,029.56	7
170	ITA	34%	±4,816,300,371.02	12
171	PLW	34%	±837,698.12	10
172	STP	35%	±5,508,460.07	8
173	Venezuela	35%	±2,254,381,614.04	9
174	Russia	36%	±18,878,712,944.77	12
175	COM	36%	±18,207,486.86	11
176	LSO	36%	±44,087,996.02	11
177	KGZ	36%	±374,575,286.64	14
178	AUT	36%	±1,255,545,556.56	12
179	MWI	37%	±303,809,709.4	10
180	Czechia	37%	±1,480,334,140.1	12
181	FJI	39%	±13,457,760.21	9
182	Laos	39%	±286,300,810.26	11
183	SEN	39%	±134,307,965.22	11
184	JPN	40%	±3,979,640,184.03	9
185	GRC	40%	±838,488,345.43	13
186	AFG	41%	±4.69	4
187	BGD	41%	±4,079,257,896.28	11
188	NAM	42%	±215,407,135.12	11
189	MHL	42%	±2,037,145.37	9
190	THA	43%	±653,388,682.4	12
191	HND	43%	±57,109,217.29	12
192	KWT	43%	±631,371,111	11
193	GHA	43%	±1,992,376,368.03	11
194	MRT	43%	±188,893,938.84	11
195	WSM	44%	±2,288,563.43	11
196	OMN	45%	±1,367,688,897.94	8
197	TKM	45%	±2,743,962,056.57	11
198	FIN	45%	±1,166,945,036.62	12
199	NER	45%	±25,305,028.71	11
200	LIE	45%	±19,019,405.91	8
201	ATG	46%	±7,776,977.69	7
202	ECU	46%	±418,054,793	11
203	EEQ	47%	±43,797,297,197.8	7
204	ISR	47%	±9,485,092,239.94	12
205	BHR	47%	±418,074,131.74	9
206	SSD	47%	±405,321,660.81	7
207	SOM	48%	±115,142,155.93	10
208	PAN	48%	±296,626,917.45	9
209	MOZ	50%	±142,288,257.64	10
210	DOM	53%	±1,139,683,297.63	12
211	Bolivia	54%	±1,511,067,524.31	9
212	Congo	54%	±239,636,071.25	11
213	LKA	55%	±695,447,350.79	19
214	SLB	56%	±8,537,183.81	8
215	LBN	57%	±9.82	3
216	BDI	57%	±545,355,002.31	8
217	LBY	57%	±814,050,343.08	11
218	Macao	58%	±150,917,958.69	13
219	JAM	59%	±31,643,591.46	9
220	VUT	59%	±1,576,139.48	11
221	Iran	59%	±3,914,616,939.68	12
222	CPV	60%	±15,094,472.48	11
223	LCA	61%	±1,299,501.93	8
224	SYC	63%	±9,828,047.45	11
225	ARG	63%	±5,855,490,514.28	12
226	Canada	64%	±10,143,919,326.64	12
227	CHL	66%	±2,809,255,289.66	12
228	ZWE	67%	±1,551,266,288.76	8
229	TUV	68%	±3,508,128.78	7
230	United Arab Emirates	73%	±2,856,327,159.51	8
231	HUN	73%	±390,591,393.84	12
232	WBG	74%	±279,642,480.63	5
233	SDN	76%	±2,897,265,625.9	11
234	MMR	81%	±258,354,758.56	8
235	CMQ	83%	±3,661,095,707.71	7
236	TLS	85%	±60,916,009.51	8
237	SAU	85%	±3,712,856,441.92	11
238	BLZ	87%	±1,197,767.42	9
239	TCD	90%	±261,841,284.27	11
240	NZL	91%	±486,011,206.21	9
241	CAF	92%	±169,867,771.04	11
242	BWA	92%	±194,894,495.02	11
243	DZA	93%	±2,517,552,975.91	12
244	PSE	102%	±518,384,578.87	8
245	MDV	107%	±5,578,156.33	9
246	GAB	108%	±376,667,658.3	11
247	YEM	114%	±696,170,905.37	6
248	PRI	115%	±9,671,474.72	11
249	IRL	119%	±3,953,331,106.15	13
250	KAZ	125%	±7,984,552,666.81	9
251	ISL	125%	±186,139,132.74	12
252	BFA	133%	±259,615,603.43	11
253	QAT	139%	±1,394,639,202.03	8
254	MEA	155%	±18,519,234,388.78	7
255	TTO	170%	±104,071,452.91	12
256	ZMB	178%	±1,702,236,181.38	8
257	AGO	188%	±3,546,897,828.2	10
258	Vietnam	191%	±146,314,891.61	13
259	GNQ	210%	±137,906,439.22	11
260	Brunei	247%	±334,239,320.17	12
261	South Africa	248%	±4,789,485,431.71	12
262	MEQ	525%	±12,573,749,039.49	7
263	COL	648%	±7,518,601,542.56	12
264	MDG	7629%	±37,630,332	11

Realized errors from the rolling ledger (past predictions vs the actuals that landed). A track record, not a guarantee of future accuracy; groups with too few matured predictions are omitted.

Backtested skill — separate, and not a track record

Backtested (as-if) — never publishedDerived75731 replayed forecasts · through 2026 · lower error = more reliable

Most reliable by indicator

#	Indicator	MAPE	Typical miss	n
1	Business Confidence	4%	±3.77	495
2	Consumer Confidence	4%	±3.8	444
3	Population Total	6%	±10,973,059.2	5972
4	GDP (current US$)	22%	±434,556,886,679.65	5798
5	Gdp Per Capita Current Usd	23%	±3,783.39	5798
6	Imports Goods Services	23%	±8.99	5176
7	Investment Gfcf Gdp	29%	±5.17	4786
8	Exports Goods Services	31%	±9.19	5144
9	Govt debt / GDP	33%	±16.61	4301
10	Reserves Months Imports	41%	±1.75	4246
11	Unemployment	43%	±2.36	4799
12	Government Bond Yield 10y	44%	±1.4	419
13	Reserves Total Usd	54%	±25,540,539,283.78	3595
14	Reserves Excl Gold Usd	71%	±20,354,779,944.75	3595
15	Inflation Cpi Yoy Monthly	82%	±3.27	561
16	Policy Rate	83%	±2.19	33
17	CPI inflation	232%	±9.83	5286
18	Current account / GDP	319%	±7.27	4261
19	Real GDP growth	320%	±6.28	5785
20	Productivity Growth	1231%	±5.47	5237

Most reliable by country

#	Country	MAPE	Typical miss	n
1	North Korea	2%	±155,461.97	44
2	VGB	5%	±1,985.26	24
3	GIB	6%	±2,247.23	24
4	NCL	25%	±225,114,541.09	155
5	MAF	30%	±4,881.02	25
6	CHI	30%	±317,980,598.63	98

Backtested errors — the model replayed on held-out history. These forecasts were never published in advance, so they are evidence of skill, not a track record, and may overstate real-world accuracy. Groups with too few scored replays are omitted.

· IMF DataMapper API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	-4.08	-3.14	-5.02	-4.34 – -3.82
2028	-4.64	-3.01	-6.27	-5.19 – -4.08
2030	-5.2	-3.09	-7.31	-6.04 – -4.35
2035	-6.6	-3.62	-9.58	-8.26 – -4.93

Method: linear_trend; lookback 8y; horizon 1y; confidence 80%

Exports of goods and services

Latest observed10.97(2024)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2025	10.8	12.47	9.36	10.39 – 11.21
2027	10.46	13.34	7.97	9.55 – 11.38
2029	10.12	13.84	6.9	8.78 – 11.46
2034	9.27	14.52	4.72	7.04 – 11.51

Method: linear_trend; lookback 8y; horizon 1y; confidence 80%

Gross domestic product, current US dollars

Latest observed30.8T(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	32T	33.7T	30.5T	31T – 33T
2028	35.1T	38.1T	32.6T	32.5T – 37.7T
2030	38.2T	42.1T	34.9T	33.9T – 42.6T
2035	46.1T	51.4T	41.4T	36.5T – 55.6T

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Real GDP growth

Latest observed2.16(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	2.06	10.35	-5.12	0.65 – 3.48
2028	1.83	12	-10	-0.65 – 4.31
2030	1.6	12	-10	-1.61 – 4.82
2035	1.03	12	-10	-3.5 – 5.57

Method: weighted_composite; lookback 6y; horizon 1y; confidence 80%

GDP per capita, current US dollars

Latest observed90k(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	93.2k	98.3k	88.7k	90.3k – 96.1k
2028	101.3k	110.2k	93.7k	93.8k – 108.8k
2030	109.5k	120.9k	99.6k	97k – 121.9k
2035	129.9k	146k	115.9k	102.9k – 156.8k

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Government bond yield (10 year)

Latest observed4.54(2026)· FRED API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2027	4.09	5.99	2.06	3.56 – 4.63
2029	3.56	6.85	0.05	2.58 – 4.54
2031	3.3	7.54	0	1.99 – 4.61
2036	3.09	9.09	0	1.12 – 5.07

Method: mean_reversion; lookback 10y; horizon 1y; confidence 80%

General government debt to GDP

Latest observed126.8(2026)· IMF DataMapper API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	126.52	141.86	108.81	122.13 – 130.9
2028	130.75	157.33	100.08	120.39 – 141.12
2030	134.99	169.31	95.39	118.91 – 151.07
2035	145.58	194.11	89.58	114.82 – 176.33

Method: linear_trend; lookback 10y; horizon 1y; confidence 80%

Imports of goods and services

Latest observed14.04(2024)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2025	13.93	15.9	11.96	13.41 – 14.46
2027	13.72	17.13	10.31	12.54 – 14.9
2029	13.51	17.91	9.1	11.75 – 15.26
2034	12.97	19.2	6.74	9.94 – 16

Method: linear_trend; lookback 8y; horizon 1y; confidence 80%

Consumer price inflation

Latest observed2.95(2024)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	2.77	8.45	-3.3	1.47 – 4.08
2028	2.43	12.25	-5	0.13 – 4.72
2030	2.08	14.76	-5	-0.9 – 5.05
2035	1.2	19.14	-5	-2.96 – 5.37

Method: exponential_smoothing; lookback 6y; horizon 1y; confidence 80%

Consumer price inflation (monthly)

Latest observed4.17(2026)· FRED API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2027	3.87	8.54	-1.13	2.78 – 4.97
2029	3.59	11.68	-5	1.63 – 5.56
2031	3.49	13.93	-5	0.9 – 6.09
2036	3.44	18.2	-5	-0.38 – 7.26

Method: mean_reversion; lookback 10y; horizon 1y; confidence 80%

Gross fixed capital formation to GDP

Latest observed21.35(2024)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2025	21.37	22.5	20.4	20.71 – 22.04
2027	21.43	22.55	20.45	19.84 – 23.01
2029	21.48	22.61	20.5	19.04 – 23.92
2034	21.61	22.8	20.57	17.13 – 26.09

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Monetary policy rate

Latest observed3.63(2026)· FRED API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2027	3.34	6.51	-0.06	2.5 – 4.17
2029	2.99	8.48	-2	1.49 – 4.49
2031	2.82	9.91	-2	0.85 – 4.79
2036	2.68	12.71	-2	-0.22 – 5.58

Method: mean_reversion; lookback 10y; horizon 1y; confidence 80%

Total population

Latest observed341.8m(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	340.9m	357.1m	326m	330.4m – 351.5m
2028	342.9m	359.1m	327.9m	317.5m – 368.3m
2030	344.9m	361.2m	329.7m	305.7m – 384m
2035	349.8m	366.3m	334.4m	277.2m – 422.3m

Method: exponential_smoothing; lookback 10y; horizon 1y; confidence 80%

Productivity growth

Latest observed1.96(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	2.37	7	-1.1	1.76 – 2.99
2028	3.23	11.24	-2.78	2.07 – 4.38
2030	4.08	14.43	-3.68	2.46 – 5.7
2035	6.21	15	-4.76	3.39 – 9.04

Method: weighted_composite; lookback 7y; horizon 1y; confidence 80%

Total reserves (excluding gold)

Latest observed243.3bn(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	250.1bn	322.4bn	177.7bn	235bn – 265.1bn
2028	269.7bn	395bn	144.3bn	237.5bn – 301.8bn
2030	289.3bn	451.1bn	127.5bn	241.4bn – 337.2bn
2035	338.3bn	567.1bn	109.5bn	249.1bn – 427.4bn

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Reserves in months of imports

Latest observed2.8(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	2.5	3.16	1.84	2.36 – 2.65
2028	2.15	3.3	1.01	1.87 – 2.43
2030	1.98	3.46	0.5	1.6 – 2.37
2035	1.84	3.93	0	1.23 – 2.46

Method: mean_reversion; lookback 10y; horizon 1y; confidence 80%

Total reserves (including gold)

Latest observed1.4T(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	1.5T	1.8T	1.2T	1.5T – 1.6T
2028	1.9T	2.4T	1.4T	1.7T – 2T
2030	2.2T	2.9T	1.6T	1.9T – 2.5T
2035	3.1T	4T	2.2T	2.4T – 3.7T

Method: weighted_composite; lookback 8y; horizon 1y; confidence 80%

Unemployment rate

Latest observed4.2(2025)· World Bank Indicators API

Year	Baseline	Optimistic	Pessimistic	Conf. band
2026	3.53	5.92	1.15	3.11 – 3.95
2028	2.2	6.34	0	1.46 – 2.94
2030	0.87	6.21	0	0 – 1.77
2035	0	7.55	0	0 – 1.32

Method: linear_trend; lookback 6y; horizon 1y; confidence 80%

Generated by the prediction engine (model prediction-engine-v1) on 2026-10-31 from observed history. Projections, not observations — never a guarantee of future values.