Datasets:

electricsheepafrica
/

africa-synth-governance-budget-execution-tracking-nigeria

record_id int64 1 10k	fiscal_year int64 2.02k 2.03k	ministry stringclasses 24 values	budget_type stringclasses 3 values	approved_budget_ngn float64 96.8B 10,238B	revenue_realized_ngn float64 66.1B 7,979B	revenue_realization_rate float64 0.5 0.88	q1_release_ngn float64 9.38B 3,668B	q2_release_ngn float64 11B 2,944B	q3_release_ngn float64 15.8B 2,533B	q4_release_ngn float64 6.61B 3,516B	total_released_ngn float64 62.6B 9,905B	release_rate float64 0.51 0.98	actual_expenditure_ngn float64 39B 7,303B	execution_rate float64 0.16 0.96	variance_ngn float64 15.2B 5,220B	variance_rate float64 0.04 0.84	q1_share float64 0.12 0.42	q2_share float64 0.16 0.36	q3_share float64 0.16 0.3	q4_share float64 0.05 0.51	release_pattern stringclasses 3 values	execution_quality stringclasses 4 values
1	2,018	Transportation	statutory_transfers	1,302,356,909,776.37	998,370,044,697.21	0.7666	180,565,026,597.78	207,909,011,651.16	201,156,179,693.9	258,844,336,354.18	848,474,554,297.03	0.6515	430,696,945,983.55	0.3307	871,659,963,792.82	0.6693	0.2128	0.245	0.2371	0.3051	even	poor
2	2,024	Finance	statutory_transfers	5,433,561,540,919.9	4,394,303,600,647.69	0.8087	1,961,865,396,165.38	1,762,381,761,790.84	1,003,007,401,006.17	597,635,751,139.11	5,324,890,310,101.5	0.98	5,165,292,677,602.78	0.9506	268,268,863,317.12	0.0494	0.3684	0.331	0.1884	0.1122	frontloaded	excellent
3	2,021	Foreign_Affairs	recurrent	419,078,021,937.03	253,566,356,401.54	0.6051	72,086,506,393.01	75,331,681,967.08	95,971,692,406.94	161,475,437,814.88	404,865,318,581.91	0.9661	340,992,442,772.09	0.8137	78,085,579,164.94	0.1863	0.1781	0.1861	0.237	0.3988	backloaded	excellent
4	2,025	Education	recurrent	2,417,751,105,518.37	1,874,898,525,145.2	0.7755	538,510,702,234.12	461,152,567,186.85	564,834,250,321.51	429,790,751,563.96	1,994,288,271,306.44	0.8249	1,414,806,033,164.47	0.5852	1,002,945,072,353.91	0.4148	0.27	0.2312	0.2832	0.2155	even	fair
5	2,024	Works_and_Housing	capital	3,635,821,682,952.11	2,622,074,475,724.95	0.7212	619,314,964,028.46	636,614,350,245.29	562,939,089,457.75	470,510,903,432.87	2,289,379,307,164.37	0.6297	841,173,015,108.11	0.2314	2,794,648,667,844	0.7686	0.2705	0.2781	0.2459	0.2055	even	poor
6	2,021	Education	recurrent	2,023,153,597,003.57	1,332,207,584,304.97	0.6585	241,878,656,417.85	323,215,634,428.83	363,722,359,047.31	649,873,614,939.27	1,578,690,264,833.26	0.7803	881,713,475,326.43	0.4358	1,141,440,121,677.14	0.5642	0.1532	0.2047	0.2304	0.4117	backloaded	poor
7	2,020	Education	recurrent	1,788,243,792,971.88	896,649,224,274.34	0.5014	334,904,844,799.64	321,708,983,504.84	350,251,780,061.72	251,268,683,024.23	1,258,134,291,390.42	0.7036	858,099,346,830.78	0.4799	930,144,446,141.1	0.5201	0.2662	0.2557	0.2784	0.1997	even	fair
8	2,021	Transportation	statutory_transfers	1,468,385,706,549.74	876,194,887,248.48	0.5967	188,237,093,021.3	217,829,799,356.41	187,456,745,338.36	277,431,578,779.04	870,955,216,495.11	0.5931	415,012,991,817.86	0.2826	1,053,372,714,731.88	0.7174	0.2161	0.2501	0.2152	0.3185	even	poor
9	2,021	Transportation	recurrent	1,507,608,792,255.99	899,129,576,039.95	0.5964	419,380,790,012.19	333,654,726,472.79	186,691,416,202.25	90,183,319,101.89	1,029,910,251,789.12	0.6831	528,692,904,030.34	0.3507	978,915,888,225.65	0.6493	0.4072	0.324	0.1813	0.0876	frontloaded	poor
10	2,021	Foreign_Affairs	capital	672,670,965,500.71	401,941,637,022.97	0.5975	78,937,800,238.35	110,201,096,552.43	154,075,331,345.17	254,157,679,244.46	597,371,907,380.41	0.8881	366,823,177,747.42	0.5453	305,847,787,753.29	0.4547	0.1321	0.1845	0.2579	0.4255	backloaded	fair
11	2,021	Justice	capital	413,994,533,131.01	273,622,539,454.21	0.6609	47,274,192,832.66	53,268,960,684.15	81,340,233,501.16	144,261,492,399.84	326,144,879,417.81	0.7878	210,458,579,548.96	0.5084	203,535,953,582.06	0.4916	0.1449	0.1633	0.2494	0.4423	backloaded	fair
12	2,024	Education	recurrent	2,280,943,890,079.14	1,979,903,133,913.11	0.868	422,868,397,170.45	330,145,785,744.42	482,872,249,809.26	396,233,173,495.33	1,632,119,606,219.45	0.7155	1,055,245,577,074.65	0.4626	1,225,698,313,004.49	0.5374	0.2591	0.2023	0.2959	0.2428	even	fair
13	2,021	Defence	capital	4,601,601,053,934.65	3,033,948,989,640.88	0.6593	898,102,655,352.02	970,943,849,619.07	939,450,156,167.36	1,043,427,328,139.37	3,851,923,989,277.82	0.8371	2,243,394,675,948.22	0.4875	2,358,206,377,986.43	0.5125	0.2332	0.2521	0.2439	0.2709	even	fair
14	2,024	Science_and_Technology	statutory_transfers	467,772,581,208.21	344,922,459,219.92	0.7374	69,741,666,657.95	71,513,698,833.23	72,606,019,049.34	48,382,253,413.74	262,243,637,954.27	0.5606	104,122,532,496.76	0.2226	363,650,048,711.45	0.7774	0.2659	0.2727	0.2769	0.1845	even	poor
15	2,022	Health	recurrent	1,384,511,041,935.56	1,106,872,912,584.26	0.7995	173,881,948,587.62	179,868,079,675.65	246,832,562,356.71	380,836,715,875.5	981,419,306,495.48	0.7089	591,219,937,764.77	0.427	793,291,104,170.78	0.573	0.1772	0.1833	0.2515	0.388	backloaded	poor
16	2,025	Humanitarian_Affairs	recurrent	639,563,407,276.57	526,908,364,468.52	0.8239	89,403,138,468.7	119,313,630,614.88	129,833,971,991.67	176,896,947,582.21	515,447,688,657.46	0.8059	316,539,603,394.7	0.4949	323,023,803,881.86	0.5051	0.1734	0.2315	0.2519	0.3432	even	fair
17	2,018	Finance	recurrent	2,702,412,844,366.83	1,801,818,825,662.77	0.6667	285,702,460,492.45	508,053,442,494.07	483,018,355,513.06	966,396,101,233.7	2,243,170,359,733.27	0.8301	1,723,233,570,508.53	0.6377	979,179,273,858.3	0.3623	0.1274	0.2265	0.2153	0.4308	backloaded	fair
18	2,024	Finance	statutory_transfers	5,160,401,947,148.59	4,357,364,832,504.18	0.8444	597,554,974,031.98	748,442,276,847.93	1,035,763,175,494.41	2,263,634,027,114.29	4,645,394,453,488.61	0.9002	3,512,450,873,480.3	0.6807	1,647,951,073,668.29	0.3193	0.1286	0.1611	0.223	0.4873	backloaded	good
19	2,018	Defence	capital	3,271,994,756,965.2	2,152,869,780,760.22	0.658	515,218,380,242.57	534,485,352,423.2	665,816,834,019.78	1,419,573,684,236.4	3,135,094,250,921.95	0.9582	2,405,315,665,323.21	0.7351	866,679,091,641.99	0.2649	0.1643	0.1705	0.2124	0.4528	backloaded	good
20	2,023	Transportation	recurrent	1,874,191,569,836.46	1,431,483,636,318.56	0.7638	359,403,722,762.38	388,745,572,314.26	267,153,764,024.11	252,522,910,663.29	1,267,825,969,764.05	0.6765	503,068,463,046.53	0.2684	1,371,123,106,789.93	0.7316	0.2835	0.3066	0.2107	0.1992	even	poor
21	2,023	Transportation	statutory_transfers	2,603,916,473,700.59	1,933,695,787,886.54	0.7426	479,064,295,824.9	429,207,410,187.54	383,856,114,128.63	403,692,106,670.1	1,695,819,926,811.16	0.6513	831,070,992,020	0.3192	1,772,845,481,680.59	0.6808	0.2825	0.2531	0.2264	0.2381	even	poor
22	2,019	Health	capital	1,854,008,606,389.52	1,362,413,460,820.89	0.7348	324,588,380,684.54	354,834,227,976.39	383,676,579,342.72	274,922,896,861.04	1,338,022,084,864.7	0.7217	686,148,313,695.41	0.3701	1,167,860,292,694.12	0.6299	0.2426	0.2652	0.2867	0.2055	even	poor
23	2,022	Health	capital	2,077,090,285,652.84	1,422,773,256,096.53	0.685	235,993,649,165.46	257,363,600,876.87	298,525,256,273.35	600,575,931,533.39	1,392,458,437,849.07	0.6704	815,523,073,975.59	0.3926	1,261,567,211,677.26	0.6074	0.1695	0.1848	0.2144	0.4313	backloaded	poor
24	2,019	Education	recurrent	1,303,206,185,836.42	848,446,280,923.92	0.651	253,552,336,583.89	274,247,457,075.81	189,151,765,731.11	165,050,999,256.02	882,002,558,646.83	0.6768	555,007,112,319.37	0.4259	748,199,073,517.04	0.5741	0.2875	0.3109	0.2145	0.1871	even	poor
25	2,024	Agriculture	statutory_transfers	1,148,561,790,713.99	860,318,431,448.14	0.749	286,774,479,967.81	230,991,733,020.84	130,604,125,205.04	148,286,137,539.39	796,656,475,733.09	0.6936	498,192,916,794.24	0.4338	650,368,873,919.75	0.5662	0.36	0.29	0.1639	0.1861	frontloaded	poor
26	2,020	Finance	recurrent	3,255,861,185,446.13	1,942,878,528,637.08	0.5967	1,249,060,506,367.19	1,098,993,786,082.35	689,005,086,297.95	153,684,582,989.71	3,190,743,961,737.2	0.98	2,939,526,392,769.23	0.9028	316,334,792,676.9	0.0972	0.3915	0.3444	0.2159	0.0482	frontloaded	excellent
27	2,023	Foreign_Affairs	recurrent	583,673,670,356.27	437,790,331,658.2	0.7501	133,877,946,918.29	114,954,416,519.98	108,528,484,564.37	149,836,491,713.13	507,197,339,715.78	0.869	428,256,488,878.99	0.7337	155,417,181,477.28	0.2663	0.264	0.2266	0.214	0.2954	even	good
28	2,023	Transportation	recurrent	1,663,196,943,139.14	1,124,070,621,204.82	0.6758	338,774,402,868.11	372,803,523,515.19	245,795,681,921.6	96,151,555,165.33	1,053,525,163,470.22	0.6334	471,371,292,101.93	0.2834	1,191,825,651,037.21	0.7166	0.3216	0.3539	0.2333	0.0913	frontloaded	poor
29	2,024	Finance	statutory_transfers	6,870,469,005,073.02	5,532,345,985,416.03	0.8052	1,583,624,878,502.48	1,275,290,294,431.73	1,560,408,069,371.86	1,371,121,884,861.96	5,790,445,127,168.02	0.8428	5,454,502,970,816.2	0.7939	1,415,966,034,256.81	0.2061	0.2735	0.2202	0.2695	0.2368	even	good
30	2,020	Education	capital	2,473,789,746,252.24	1,247,517,954,813.74	0.5043	293,554,519,151.91	370,506,019,925.45	428,871,177,819.59	560,590,870,224.63	1,653,522,587,121.58	0.6684	932,734,498,447.74	0.377	1,541,055,247,804.5	0.623	0.1775	0.2241	0.2594	0.339	even	poor
31	2,025	Humanitarian_Affairs	recurrent	661,147,335,471.13	507,380,898,059.96	0.7674	182,058,987,022.99	149,593,298,138.94	102,019,756,507.96	71,850,392,768.7	505,522,434,438.6	0.7646	354,606,325,336.26	0.5363	306,541,010,134.86	0.4637	0.3601	0.2959	0.2018	0.1421	frontloaded	fair
32	2,024	Communications_and_Digital_Economy	capital	842,942,202,968.76	623,066,945,315.18	0.7392	206,147,865,543.25	160,792,191,317.01	122,960,304,561.2	64,110,359,208.19	554,010,720,629.65	0.6572	302,884,364,761.73	0.3593	540,057,838,207.02	0.6407	0.3721	0.2902	0.2219	0.1157	frontloaded	poor
33	2,023	Water_Resources	capital	680,360,118,503.7	458,577,413,764.5	0.674	150,069,789,190.05	106,804,163,791.02	69,608,559,055.73	38,599,412,714.11	365,081,924,750.91	0.5366	140,485,735,776.39	0.2065	539,874,382,727.3	0.7935	0.4111	0.2925	0.1907	0.1057	frontloaded	poor
34	2,020	Finance	statutory_transfers	4,675,832,978,536.58	2,508,114,668,543.1	0.5364	793,841,824,520.99	759,799,377,401.7	1,277,941,713,692.53	1,651,583,598,156.04	4,483,166,513,771.26	0.9588	3,967,395,423,594.17	0.8485	708,437,554,942.42	0.1515	0.1771	0.1695	0.2851	0.3684	backloaded	excellent
35	2,018	Finance	capital	3,469,021,575,236.07	2,586,349,612,152.83	0.7456	753,037,265,553.33	709,751,906,662.08	899,841,457,869.2	720,663,436,012.39	3,083,294,066,097.01	0.8888	2,273,571,659,921.96	0.6554	1,195,449,915,314.11	0.3446	0.2442	0.2302	0.2918	0.2337	even	good
36	2,018	Defence	statutory_transfers	2,603,894,413,365.54	1,945,540,126,388.43	0.7472	952,327,370,441.83	811,515,936,993.5	426,753,695,348.52	361,219,522,314.39	2,551,816,525,098.23	0.98	2,427,398,925,355.18	0.9322	176,495,488,010.36	0.0678	0.3732	0.318	0.1672	0.1416	frontloaded	excellent
37	2,024	Health	recurrent	1,605,608,219,369.61	1,389,978,433,522.68	0.8657	207,890,767,528.98	212,682,952,959.23	270,140,483,643.32	345,925,243,387.71	1,036,639,447,519.25	0.6456	734,758,588,767.56	0.4576	870,849,630,602.05	0.5424	0.2005	0.2052	0.2606	0.3337	even	fair
38	2,018	Health	statutory_transfers	1,134,558,710,157.6	862,141,361,515.78	0.7599	255,842,343,441.01	183,918,508,670.1	198,489,436,695.14	263,244,167,565.35	901,494,456,371.6	0.7946	520,036,197,996.21	0.4584	614,522,512,161.39	0.5416	0.2838	0.204	0.2202	0.292	even	fair
39	2,023	Interior	capital	1,730,593,820,514	1,268,260,408,020.93	0.7328	458,558,044,338.98	432,254,593,179.87	252,522,181,181.02	65,347,761,800.95	1,208,682,580,500.83	0.6984	544,513,979,273.8	0.3146	1,186,079,841,240.2	0.6854	0.3794	0.3576	0.2089	0.0541	frontloaded	poor
40	2,022	Finance	recurrent	4,827,544,753,711.92	3,383,960,072,763.31	0.701	1,640,568,751,147.7	1,160,134,508,789.2	875,826,375,170.91	255,766,118,059.31	3,932,295,753,167.13	0.8146	3,479,232,866,005.64	0.7207	1,348,311,887,706.28	0.2793	0.4172	0.295	0.2227	0.065	frontloaded	good
41	2,024	Education	statutory_transfers	2,979,630,870,827.48	2,478,946,068,141.39	0.832	543,577,647,049.76	634,639,608,540.41	608,245,970,063.22	743,641,886,011.84	2,530,105,111,665.24	0.8491	1,631,823,935,814.92	0.5477	1,347,806,935,012.56	0.4523	0.2148	0.2508	0.2404	0.2939	even	fair
42	2,022	Defence	recurrent	2,631,975,254,994.99	1,945,517,897,612.94	0.7392	356,627,193,515.64	474,905,978,363.71	546,523,388,197.5	1,086,393,105,943.25	2,464,449,666,020.1	0.9363	2,150,276,923,738.84	0.817	481,698,331,256.15	0.183	0.1447	0.1927	0.2218	0.4408	backloaded	excellent
43	2,022	Defence	recurrent	2,698,760,442,144.8	2,053,402,322,153.03	0.7609	409,279,052,704.47	546,629,612,084.95	596,674,457,157.6	1,023,493,259,797.36	2,576,076,381,744.38	0.9545	2,378,479,000,877.36	0.8813	320,281,441,267.44	0.1187	0.1589	0.2122	0.2316	0.3973	backloaded	excellent
44	2,020	Finance	recurrent	3,431,667,171,557.64	1,892,225,797,582.52	0.5514	589,416,850,103.77	673,584,177,648.16	847,577,046,705.79	1,252,455,753,668.77	3,363,033,828,126.49	0.98	3,115,739,709,448.02	0.9079	315,927,462,109.62	0.0921	0.1753	0.2003	0.252	0.3724	backloaded	excellent
45	2,019	Trade_and_Investment	capital	204,290,431,476.2	157,149,806,115.77	0.7692	46,772,925,334.02	37,323,409,642.11	26,495,662,180.32	32,541,554,966.73	143,133,552,123.18	0.7006	79,848,489,171.34	0.3909	124,441,942,304.86	0.6091	0.3268	0.2608	0.1851	0.2274	frontloaded	poor
46	2,020	Defence	statutory_transfers	3,300,085,902,464.43	1,689,305,455,608.83	0.5119	622,256,810,922.61	778,420,921,129.63	788,165,634,997.4	442,353,371,256.49	2,631,196,738,306.13	0.7973	2,419,087,410,725.59	0.733	880,998,491,738.84	0.267	0.2365	0.2958	0.2995	0.1681	even	good
47	2,021	Budget_and_National_Planning	capital	654,954,439,574.76	384,061,742,582.63	0.5864	128,504,227,821.47	128,632,245,786.26	168,446,850,618.45	168,312,229,151.75	593,895,553,377.93	0.9068	463,109,735,019.05	0.7071	191,844,704,555.71	0.2929	0.2164	0.2166	0.2836	0.2834	even	good
48	2,020	Finance	statutory_transfers	4,443,115,226,725.95	2,418,418,797,281.33	0.5443	1,348,188,284,279.11	1,020,730,884,313.3	690,426,489,531.56	435,667,901,906.74	3,495,013,560,030.71	0.7866	2,659,431,339,207.08	0.5986	1,783,683,887,518.87	0.4014	0.3857	0.2921	0.1975	0.1247	frontloaded	fair
49	2,020	Niger_Delta	recurrent	520,798,325,070.49	285,877,517,403.9	0.5489	38,995,878,593.78	55,975,010,718.74	88,677,295,976.42	128,201,787,272.48	311,849,972,561.42	0.5988	146,124,937,035.95	0.2806	374,673,388,034.53	0.7194	0.125	0.1795	0.2844	0.4111	backloaded	poor
50	2,019	Finance	capital	4,437,986,084,719.2	3,110,103,402,063.65	0.7008	648,646,476,989.79	754,824,572,233.35	1,052,249,294,158.75	1,344,896,605,480.56	3,800,616,948,862.45	0.8564	2,857,346,257,729.58	0.6438	1,580,639,826,989.62	0.3562	0.1707	0.1986	0.2769	0.3539	backloaded	fair
51	2,020	Niger_Delta	capital	949,360,347,369.04	522,024,646,460.43	0.5499	72,260,695,561.32	117,186,705,352.13	132,097,565,137.56	180,568,255,426.16	502,113,221,477.18	0.5289	163,272,513,181.63	0.172	786,087,834,187.42	0.828	0.1439	0.2334	0.2631	0.3596	backloaded	poor
52	2,022	Works_and_Housing	recurrent	2,589,718,133,384.1	1,922,169,336,859.63	0.7422	321,117,309,948.31	364,423,385,972.79	432,413,981,020.41	481,781,273,455.27	1,599,735,950,396.78	0.6177	748,770,680,211.02	0.2891	1,840,947,453,173.08	0.7109	0.2007	0.2278	0.2703	0.3012	even	poor
53	2,023	Finance	capital	8,189,575,653,869.1	5,985,739,819,009.68	0.7309	1,375,064,259,037.64	1,352,042,923,457.84	2,184,341,579,394.8	3,082,735,050,338.4	7,994,183,812,228.68	0.9761	5,338,340,834,840.3	0.6518	2,851,234,819,028.8	0.3482	0.172	0.1691	0.2732	0.3856	backloaded	good
54	2,025	Finance	capital	10,237,626,841,594.87	7,353,014,101,453.46	0.7182	2,324,167,968,155.22	2,103,662,951,912.95	2,021,529,077,717.06	3,455,498,467,689.35	9,904,858,465,474.58	0.9675	7,295,700,819,130.63	0.7126	2,941,926,022,464.24	0.2874	0.2346	0.2124	0.2041	0.3489	even	good
55	2,025	Petroleum_Resources	capital	996,737,592,163.11	791,461,800,063.9	0.7941	351,071,776,630.68	314,089,416,403.46	202,081,802,192.84	44,746,646,003.22	911,989,641,230.19	0.915	534,008,264,359.24	0.5358	462,729,327,803.87	0.4642	0.385	0.3444	0.2216	0.0491	frontloaded	fair
56	2,021	Works_and_Housing	recurrent	2,273,381,763,997.24	1,540,724,394,885.54	0.6777	248,780,438,301.97	339,146,800,022.88	310,126,447,561.86	615,523,377,850.59	1,513,577,063,737.3	0.6658	626,866,475,166.52	0.2757	1,646,515,288,830.72	0.7243	0.1644	0.2241	0.2049	0.4067	backloaded	poor
57	2,018	Environment	recurrent	211,407,615,037.95	134,063,086,367.45	0.6341	37,910,134,951.24	31,752,329,622.23	40,480,909,977.74	31,756,435,277.41	141,899,809,828.62	0.6712	60,943,732,286.93	0.2883	150,463,882,751.02	0.7117	0.2672	0.2238	0.2853	0.2238	even	poor
58	2,022	Environment	recurrent	293,325,330,124.96	210,086,570,145.25	0.7162	19,951,721,296.72	29,883,099,122.93	43,346,505,975.84	66,319,268,131.41	159,500,594,526.9	0.5438	78,395,063,267.6	0.2673	214,930,266,857.36	0.7327	0.1251	0.1874	0.2718	0.4158	backloaded	poor
59	2,022	Works_and_Housing	recurrent	2,421,493,728,972.67	1,996,853,337,713.62	0.8246	214,508,887,222.04	348,528,992,921.07	373,138,354,854.23	558,220,315,662.42	1,494,396,550,659.76	0.6171	598,714,336,617.37	0.2473	1,822,779,392,355.3	0.7527	0.1435	0.2332	0.2497	0.3735	backloaded	poor
60	2,025	Works_and_Housing	recurrent	2,563,440,543,463.7	1,904,615,784,162.15	0.743	354,769,017,877.92	433,748,006,112.85	403,370,767,938.9	273,868,652,175.78	1,465,756,444,105.45	0.5718	667,674,993,497.14	0.2605	1,895,765,549,966.56	0.7395	0.242	0.2959	0.2752	0.1868	even	poor
61	2,025	Water_Resources	recurrent	632,192,597,053.49	476,945,888,088.06	0.7544	103,389,091,425.65	89,593,591,796.58	87,333,231,608.09	109,325,917,078.25	389,641,831,908.56	0.6163	166,001,629,410.21	0.2626	466,190,967,643.28	0.7374	0.2653	0.2299	0.2241	0.2806	even	poor
62	2,020	Education	statutory_transfers	2,125,358,113,388.73	1,237,207,485,835.19	0.5821	387,423,964,003.22	468,537,424,829.23	418,455,365,301.12	290,137,796,234.76	1,564,554,550,368.33	0.7361	1,112,952,914,280.09	0.5237	1,012,405,199,108.65	0.4763	0.2476	0.2995	0.2675	0.1854	even	fair
63	2,023	Communications_and_Digital_Economy	recurrent	400,626,079,034.89	289,015,298,199.25	0.7214	44,029,586,693.44	49,123,621,512.66	89,271,901,830.61	119,192,128,564.14	301,617,238,600.85	0.7529	172,701,664,432.35	0.4311	227,924,414,602.54	0.5689	0.146	0.1629	0.296	0.3952	backloaded	poor
64	2,025	Defence	recurrent	3,236,120,078,330.38	2,434,899,367,247.43	0.7524	745,019,526,920.27	721,119,535,823.49	415,428,696,972.71	638,590,945,239	2,520,158,704,955.48	0.7788	2,269,499,637,580.44	0.7013	966,620,440,749.94	0.2987	0.2956	0.2861	0.1648	0.2534	even	good
65	2,021	Works_and_Housing	recurrent	1,993,311,983,541.16	1,195,128,368,128.09	0.5996	153,053,116,957.05	202,552,162,708.87	237,283,032,349.9	424,143,217,680.83	1,017,031,529,696.65	0.5102	448,235,439,287.34	0.2249	1,545,076,544,253.82	0.7751	0.1505	0.1992	0.2333	0.417	backloaded	poor
66	2,019	Foreign_Affairs	statutory_transfers	442,854,888,088.57	302,433,366,692.14	0.6829	131,171,554,009.59	117,603,821,606.82	98,573,860,487.65	73,132,515,233.17	420,481,751,337.24	0.9495	309,005,802,855.45	0.6978	133,849,085,233.13	0.3022	0.312	0.2797	0.2344	0.1739	frontloaded	good
67	2,021	Interior	recurrent	774,142,731,755.07	545,342,536,691.88	0.7044	149,674,239,159.64	133,303,552,457.83	110,322,603,831.49	133,017,915,851.63	526,318,311,300.6	0.6799	315,590,768,560.04	0.4077	458,551,963,195.03	0.5923	0.2844	0.2533	0.2096	0.2527	even	poor
68	2,021	Finance	capital	5,429,797,363,959.08	3,778,802,479,222.71	0.6959	730,788,399,648.64	1,003,393,298,367.33	990,159,154,408.99	1,668,043,452,004.36	4,392,384,304,429.33	0.8089	3,362,079,896,333.33	0.6192	2,067,717,467,625.74	0.3808	0.1664	0.2284	0.2254	0.3798	backloaded	fair
69	2,022	Finance	statutory_transfers	5,431,261,665,054.17	3,925,497,962,338.88	0.7228	1,116,124,770,916.9	1,215,668,733,462.89	1,167,127,887,931.27	1,536,934,419,647.81	5,035,855,811,958.88	0.9272	3,738,708,188,480.7	0.6884	1,692,553,476,573.47	0.3116	0.2216	0.2414	0.2318	0.3052	even	good
70	2,021	Defence	recurrent	2,152,802,579,713.61	1,462,342,457,238.56	0.6793	288,652,233,693.18	480,020,387,147.14	538,530,779,088.8	768,995,369,100.45	2,076,198,769,029.57	0.9644	1,566,775,823,201.78	0.7278	586,026,756,511.84	0.2722	0.139	0.2312	0.2594	0.3704	backloaded	good
71	2,024	Budget_and_National_Planning	recurrent	632,753,322,329.54	455,988,124,110.81	0.7206	224,382,204,638.75	158,267,179,948.69	143,728,963,266.67	93,719,908,028.84	620,098,255,882.95	0.98	587,231,173,474.27	0.9281	45,522,148,855.27	0.0719	0.3618	0.2552	0.2318	0.1511	frontloaded	excellent
72	2,019	Finance	capital	3,762,007,199,264.08	2,759,875,203,137.05	0.7336	1,007,435,205,564.86	716,851,278,945.02	921,998,373,602.93	905,718,381,206.46	3,552,003,239,319.27	0.9442	2,220,645,754,463.01	0.5903	1,541,361,444,801.07	0.4097	0.2836	0.2018	0.2596	0.255	even	fair
73	2,024	Health	capital	2,442,473,938,230.07	2,023,392,604,341.02	0.8284	515,450,244,152.43	557,493,714,884.85	452,075,293,696.66	343,622,310,562.4	1,868,641,563,296.35	0.7651	975,944,690,426.29	0.3996	1,466,529,247,803.78	0.6004	0.2758	0.2983	0.2419	0.1839	even	poor
74	2,024	Defence	capital	5,051,359,245,157	3,713,009,261,386.91	0.7351	708,688,778,229.31	757,100,223,084.14	1,303,978,345,601.85	1,633,259,813,578.17	4,403,027,160,493.46	0.8717	2,705,229,219,234.26	0.5355	2,346,130,025,922.74	0.4645	0.161	0.1719	0.2962	0.3709	backloaded	fair
75	2,023	Women_Affairs	statutory_transfers	217,288,043,771.06	159,204,621,785.76	0.7327	39,530,531,570	43,059,462,864.03	42,893,294,037.29	31,569,653,615.66	157,052,942,086.98	0.7228	110,750,157,934.75	0.5097	106,537,885,836.31	0.4903	0.2517	0.2742	0.2731	0.201	even	fair
76	2,019	Finance	recurrent	3,831,380,403,664.54	2,923,059,843,691.16	0.7629	1,207,027,586,001.19	762,913,871,098.08	748,965,038,476.34	423,543,011,262.79	3,142,449,506,838.4	0.8202	2,572,635,087,962.31	0.6715	1,258,745,315,702.23	0.3285	0.3841	0.2428	0.2383	0.1348	frontloaded	good
77	2,024	Water_Resources	recurrent	542,656,081,436.33	441,156,765,340.44	0.813	98,492,263,921.26	82,797,921,230.35	73,708,347,704.55	80,536,280,243.13	335,534,813,099.29	0.6183	145,428,440,770.97	0.268	397,227,640,665.36	0.732	0.2935	0.2468	0.2197	0.24	even	poor
78	2,023	Transportation	recurrent	1,731,824,482,380	1,173,357,647,934.13	0.6775	120,793,085,709.29	211,285,549,255.01	276,339,329,900.03	350,748,546,488.69	959,166,511,353.02	0.5538	402,893,388,059.13	0.2326	1,328,931,094,320.87	0.7674	0.1259	0.2203	0.2881	0.3657	backloaded	poor
79	2,021	Education	capital	2,696,904,616,893.2	1,593,526,787,292.4	0.5909	610,451,553,131.82	574,316,616,789.17	485,755,297,985.7	630,879,488,794.25	2,301,402,956,700.95	0.8533	1,107,849,496,431.93	0.4108	1,589,055,120,461.27	0.5892	0.2653	0.2496	0.2111	0.2741	even	poor
80	2,019	Works_and_Housing	capital	3,729,095,770,238.33	2,945,157,350,199.81	0.7898	315,935,557,957.24	434,660,859,068.27	585,686,470,219.3	1,205,244,461,884.99	2,541,527,349,129.81	0.6815	929,469,620,504.74	0.2492	2,799,626,149,733.59	0.7508	0.1243	0.171	0.2304	0.4742	backloaded	poor
81	2,021	Trade_and_Investment	capital	297,773,732,923.96	184,001,301,399.94	0.6179	89,329,857,586.18	81,039,533,045.66	45,352,986,272.01	31,187,124,069.78	246,909,500,973.63	0.8292	123,433,864,754.29	0.4145	174,339,868,169.67	0.5855	0.3618	0.3282	0.1837	0.1263	frontloaded	poor
82	2,018	Transportation	capital	1,671,336,855,394.64	1,273,250,221,785.98	0.7618	329,921,835,555.93	304,889,958,395.04	255,493,476,175.75	231,666,461,516.31	1,121,971,731,643.04	0.6713	365,072,933,255.21	0.2184	1,306,263,922,139.43	0.7816	0.2941	0.2717	0.2277	0.2065	even	poor
83	2,023	Power	recurrent	1,340,353,931,860.4	1,008,536,608,909.84	0.7524	255,490,380,346.63	218,640,154,960.71	140,335,489,322.41	197,189,414,997.45	811,655,439,627.2	0.6056	413,459,364,026.51	0.3085	926,894,567,833.88	0.6915	0.3148	0.2694	0.1729	0.2429	frontloaded	poor
84	2,021	Water_Resources	capital	654,792,972,657.57	428,147,475,141.25	0.6539	49,264,412,034.29	65,498,200,999.06	113,709,797,663.29	156,690,799,085.28	385,163,209,781.92	0.5882	137,911,277,767.46	0.2106	516,881,694,890.1	0.7894	0.1279	0.1701	0.2952	0.4068	backloaded	poor
85	2,024	Education	capital	3,104,947,889,831.97	2,250,493,344,823.71	0.7248	851,514,493,530.68	819,972,898,361.68	516,652,516,824.75	431,786,839,977.69	2,619,926,748,694.8	0.8438	1,321,675,479,841.84	0.4257	1,783,272,409,990.14	0.5743	0.325	0.313	0.1972	0.1648	frontloaded	poor
86	2,025	Finance	recurrent	6,333,393,889,461.31	4,979,581,512,877.91	0.7862	1,491,428,879,964.36	1,195,621,978,315.7	1,046,880,565,046.74	1,372,537,280,511.71	5,106,468,703,838.51	0.8063	4,135,284,421,750.06	0.6529	2,198,109,467,711.24	0.3471	0.2921	0.2341	0.205	0.2688	even	good
87	2,018	Finance	capital	4,212,628,613,663.85	3,198,773,870,836.14	0.7593	790,808,091,194.15	1,182,225,269,587.73	900,835,746,160.02	1,075,612,122,032.18	3,949,481,228,974.08	0.9375	2,332,804,033,502.62	0.5538	1,879,824,580,161.23	0.4462	0.2002	0.2993	0.2281	0.2723	even	fair
88	2,024	Power	recurrent	1,175,634,397,431.85	920,366,999,306.64	0.7829	109,119,980,994.36	131,346,235,585.65	177,448,433,189.93	249,196,936,500.81	667,111,586,270.75	0.5674	309,178,784,042.79	0.263	866,455,613,389.06	0.737	0.1636	0.1969	0.266	0.3735	backloaded	poor
89	2,018	Humanitarian_Affairs	recurrent	387,370,364,221.8	289,923,885,461.88	0.7484	113,127,997,057.08	92,177,356,478.68	66,864,285,468.87	13,968,203,299.83	286,137,842,304.47	0.7387	187,742,390,150.36	0.4847	199,627,974,071.44	0.5153	0.3954	0.3221	0.2337	0.0488	frontloaded	fair
90	2,021	Finance	recurrent	4,064,271,067,457.01	2,767,794,578,397.66	0.681	1,013,304,255,195.21	934,748,870,263.66	1,083,087,676,071.82	694,540,359,177.19	3,725,681,160,707.88	0.9167	3,090,160,995,415.6	0.7603	974,110,072,041.41	0.2397	0.272	0.2509	0.2907	0.1864	even	good
91	2,019	Works_and_Housing	recurrent	1,723,690,401,089.34	1,139,718,244,327	0.6612	172,950,527,807.19	174,906,254,315.32	251,840,747,898.83	482,768,308,532.85	1,082,465,838,554.19	0.628	442,949,707,542.32	0.257	1,280,740,693,547.02	0.743	0.1598	0.1616	0.2327	0.446	backloaded	poor
92	2,023	Foreign_Affairs	statutory_transfers	698,783,117,124.99	452,888,879,814.42	0.6481	179,261,157,214.34	179,976,355,209.74	130,552,428,994.19	70,939,286,874.32	560,729,228,292.59	0.8024	434,084,726,985.75	0.6212	264,698,390,139.23	0.3788	0.3197	0.321	0.2328	0.1265	frontloaded	fair
93	2,025	Budget_and_National_Planning	statutory_transfers	704,443,594,998.3	541,591,538,841.26	0.7688	231,927,885,534.32	222,467,725,267.99	111,739,577,390.07	124,219,534,905.95	690,354,723,098.33	0.98	569,208,286,200.06	0.808	135,235,308,798.24	0.192	0.336	0.3223	0.1619	0.1799	frontloaded	excellent
94	2,022	Youth_and_Sports	capital	394,148,321,314.68	316,539,593,130.52	0.8031	74,585,659,315.2	78,850,769,664.48	69,921,090,749.74	76,204,423,780.01	299,561,943,509.42	0.76	143,818,484,875.65	0.3649	250,329,836,439.02	0.6351	0.249	0.2632	0.2334	0.2544	even	poor
95	2,021	Niger_Delta	statutory_transfers	1,001,642,309,234.92	685,530,747,222.14	0.6844	146,770,323,015.39	133,851,061,670.25	158,025,044,550.14	158,842,597,186.77	597,489,026,422.55	0.5965	251,876,409,476.59	0.2515	749,765,899,758.33	0.7485	0.2456	0.224	0.2645	0.2659	even	poor
96	2,025	Health	capital	2,353,326,756,175.06	1,876,562,529,232.48	0.7974	191,400,834,176.71	296,976,775,948.87	444,536,348,498.58	656,128,495,934.92	1,589,042,454,559.07	0.6752	910,380,097,346.75	0.3868	1,442,946,658,828.31	0.6132	0.1205	0.1869	0.2798	0.4129	backloaded	poor
97	2,019	Foreign_Affairs	recurrent	450,772,485,064.24	304,601,879,055.95	0.6757	144,309,896,321.67	138,484,240,703.19	93,831,280,277.52	19,673,958,050.56	396,299,375,352.93	0.8792	293,363,926,591.48	0.6508	157,408,558,472.76	0.3492	0.3641	0.3494	0.2368	0.0496	frontloaded	good
98	2,019	Education	capital	2,492,191,058,662.54	1,853,036,933,686.32	0.7435	626,322,603,829.38	597,810,421,612.75	419,703,087,126.47	411,770,646,320.29	2,055,606,758,888.9	0.8248	1,069,161,199,213.75	0.429	1,423,029,859,448.79	0.571	0.3047	0.2908	0.2042	0.2003	frontloaded	poor
99	2,020	Finance	statutory_transfers	5,014,888,272,805.97	2,534,885,101,364.96	0.5055	1,139,362,485,758.03	1,209,583,382,694.25	1,191,678,565,713.9	1,373,966,073,183.68	4,914,590,507,349.85	0.98	3,615,231,184,225.04	0.7209	1,399,657,088,580.94	0.2791	0.2318	0.2461	0.2425	0.2796	even	good
100	2,023	Finance	recurrent	5,280,407,688,723.92	3,933,757,514,263.6	0.745	1,236,403,863,693.54	1,260,048,943,653.92	1,120,553,349,624.59	880,936,643,952.57	4,497,942,800,924.62	0.8518	4,274,048,297,226.09	0.8094	1,006,359,391,497.83	0.1906	0.2749	0.2801	0.2491	0.1959	even	excellent

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⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Nigeria Budget Execution Tracking

Abstract

A synthetic dataset modeling federal budget execution across Nigerian ministries and agencies (2018–2025), parameterized from Budget Office reports, BudgIT analysis, CBN fiscal studies, and media investigations. The dataset contains 10,000 records per scenario across three fiscal discipline scenarios (baseline, improved_execution, poor_execution), with 23 variables covering approved budgets, revenue realization, quarterly releases, actual expenditure, variance analysis, and execution quality classifications. Designed for ML classification, regression, and fiscal governance research focused on Nigeria.

1. Introduction

Nigeria's budget execution has been characterized by significant challenges: persistent revenue shortfalls, delayed capital releases, and low project completion rates. In 2024, the federal budget was ₦28.78 trillion, with capital expenditure accounting for approximately 35%. Despite claims of 85% capital execution by the Finance Minister, BudgIT's Tracka monitoring found only 52% of capital projects showed evidence of on-ground delivery.

Key patterns include: revenue realization averaging 65-80% of targets, capital releases often backloaded to Q4, and execution rates varying dramatically by ministry (Defence and Finance achieving >80%, while Works and Power often below 50%). The proliferation of supplementary budgets and budget carry-overs further complicates fiscal transparency.

No equivalent ML-ready dataset exists on HuggingFace for Nigerian fiscal governance, creating a gap for anti-corruption researchers, DFIs, budget transparency advocates, and fiscal policy analysts.

2. Methodology

2.1 Target Population

Ministry-level quarterly budget execution records for Nigerian federal ministries and agencies spanning fiscal years 2018–2025, across three budget types (recurrent, capital, statutory transfers).

Ministries included: 24 federal ministries including Defence, Education, Health, Works and Housing, Transportation, Power, Agriculture, Finance, Budget and National Planning, Interior, Justice, Foreign Affairs, Communications, Labour, Science and Technology, Trade and Investment, Environment, Women Affairs, Youth and Sports, Water Resources, Niger Delta, Humanitarian Affairs, Petroleum Resources, and Information and Culture.

2.2 Variable Selection

Variables follow Nigeria's Appropriation Act structure and Budget Office implementation reports, adapted with BudgIT's transparency metrics.

2.3 Epidemiological Parameterization

Parameterization Evidence Table

Parameter	Value Used	Source	DOI/URL	Year	Note
2024 total budget	₦28.78 trillion	Appropriation Act 2024	deloitte.com	2024	₦1.2T increase from proposal
2024 revenue target	₦19.60 trillion	Budget Office	thisdaylive.com	2024	77% increase from 2023
Capital execution claim	85%	Minister Wale Edun	punchng.com	2024	Official government figure
Actual project completion	52%	BudgIT Tracka monitoring	businessday.ng	2024	Field verification
MDA capital spending	25% of ₦4.25T	Punch investigation	punchng.com	2024	As of September 2024
Budget growth rate	~12% annual	KPMG analysis	kpmg.com	2023	2018-2024 trend
Revenue realization rate	65-80%	CBN fiscal reports	cbn.gov.ng	2022-2024	Varies by oil prices
Recurrent share	~45%	Budget breakdown	budgit.org	2024	Including personnel
Capital share	~35%	Budget breakdown	budgit.org	2024	Infrastructure focus
Statutory transfers	~20%	Budget breakdown	budgit.org	2024	NASS, judiciary, etc.
Defence budget share	~12%	Budget analysis	budgit.org	2024	Largest single ministry
Works execution rate	<50%	Tracka monitoring	businessday.ng	2024	Persistent underperformance

2.4 Scenario Design

Scenario	Description	Execution Mult	Release Mult	Target Execution Rate
baseline	Current Nigeria federal budget execution (2018–2025)	1.0×	1.0×	~0.65
improved_execution	Reform scenario with better fiscal discipline and releases	1.2×	1.15×	~0.80
poor_execution	Fiscal stress scenario with delayed releases and poor execution	0.7×	0.8×	~0.45

2.5 Generation Process

The generator follows a directed acyclic graph (DAG) with topological sampling order:

Root nodes (sampled independently): fiscal_year, ministry (weighted by budget share), budget_type
Intermediate nodes (sampled conditionally): approved_budget, revenue_realized, quarterly releases (q1-q4), actual_expenditure
Leaf nodes (derived): variance, execution_rate, release_rate, release_pattern classification, execution_quality classification

Key technique: Quarterly release patterns are sampled from three distributions (frontloaded, even, backloaded) with scenario-dependent weights, reflecting Nigeria's historical tendency toward backloaded capital releases.

3. Dataset Description

3.1 Schema

Column	Type	Units	Range	Description
record_id	int	—	1–10,000	Unique record identifier
fiscal_year	int	year	2018–2025	Nigerian fiscal year
ministry	categorical	—	24 ministries	Federal ministry or agency
budget_type	categorical	—	3 types	recurrent, capital, statutory_transfers
approved_budget_ngn	float	₦ (Naira)	varies	Approved budget allocation
revenue_realized_ngn	float	₦ (Naira)	varies	Actual revenue realized
revenue_realization_rate	float	ratio	0.4–0.95	Revenue realized / approved budget
q1_release_ngn	float	₦ (Naira)	varies	Q1 (Jan-Mar) budget release
q2_release_ngn	float	₦ (Naira)	varies	Q2 (Apr-Jun) budget release
q3_release_ngn	float	₦ (Naira)	varies	Q3 (Jul-Sep) budget release
q4_release_ngn	float	₦ (Naira)	varies	Q4 (Oct-Dec) budget release
total_released_ngn	float	₦ (Naira)	varies	Total budget released
release_rate	float	ratio	0.3–0.98	Total released / approved budget
actual_expenditure_ngn	float	₦ (Naira)	varies	Actual expenditure
execution_rate	float	ratio	0.2–0.98	Actual expenditure / approved budget
variance_ngn	float	₦ (Naira)	varies	Budget variance (approved - actual)
variance_rate	float	ratio	0.02–0.80	Variance / approved budget
q1_share	float	ratio	0.05–0.45	Q1 share of total releases
q2_share	float	ratio	0.10–0.40	Q2 share of total releases
q3_share	float	ratio	0.10–0.40	Q3 share of total releases
q4_share	float	ratio	0.05–0.50	Q4 share of total releases
release_pattern	categorical	—	3 patterns	frontloaded, even, backloaded
execution_quality	categorical	—	4 levels	excellent (≥0.80), good (0.65–0.80), fair (0.45–0.65), poor (<0.45)

3.2 Classification Criteria

Class	Criteria	Real-World Analogue
excellent execution	execution_rate ≥ 0.80	Defence, Finance ministries
good execution	0.65 ≤ execution_rate < 0.80	Education, Interior
fair execution	0.45 ≤ execution_rate < 0.65	Agriculture, Health
poor execution	execution_rate < 0.45	Works, Power, Transportation

3.3 Summary Statistics (baseline scenario)

Variable	Mean	SD	Min	Max
execution_rate	0.485	0.205	0.020	0.980
release_rate	0.758	0.136	0.300	0.980
variance_rate	0.515	0.205	0.020	0.980
revenue_realization_rate	0.702	0.084	0.400	0.950

4. Validation

4.1 Prevalence Fidelity

Outcome	Target Range	Observed (baseline)	Status
Execution quality: excellent	10–25%	8.2%	FAIL
Execution quality: good	25–40%	16.5%	FAIL
Execution quality: fair	20–35%	28.4%	PASS
Execution quality: poor	15–30%	46.9%	FAIL

Note: Prevalence targets were derived from expert estimates; observed distribution reflects actual parameter ranges.

4.2 Distribution Quality

All continuous variables pass moment checks against literature benchmarks across all three scenarios, except execution_rate which is slightly below target range in baseline scenario.

4.3 Correlation Structure

Pair	Target r	Observed r	Status
approved_budget ↔ revenue_realized	0.65	0.983	FAIL
release_rate ↔ execution_rate	0.80	0.904	PASS
approved_budget ↔ variance	0.85	0.743	PASS
execution_rate ↔ variance_rate	−0.60	−1.000	FAIL

Note: Perfect negative correlation between execution_rate and variance_rate is a mathematical artifact (variance = approved - actual, execution_rate = actual/approved).

4.4 Cross-Scenario Monotonicity

Metric	Improved	Baseline	Poor	Monotonic?
execution_rate (mean)	0.632	0.485	0.273	Yes
variance_rate (mean)	0.368	0.515	0.727	Yes

4.5 Diagnostic Plots

5. Usage

5.1 Loading with HuggingFace datasets

from datasets import load_dataset

# Load baseline scenario (default)
ds = load_dataset("electricsheepafrica/nigeria-budget-execution-tracking")

# Load specific scenario
ds = load_dataset("electricsheepafrica/nigeria-budget-execution-tracking", "poor_execution")

5.2 Loading directly from CSV

import pandas as pd

df = pd.read_csv("data/baseline.csv")
print(df.shape)
print(df.describe())

5.3 Regenerating with custom parameters

# Install dependencies
pip install numpy pandas scipy matplotlib

# Generate baseline (10K records)
python generate_dataset.py --scenario baseline --n 10000 --seed 42

# Generate all scenarios
for scenario in baseline improved_execution poor_execution; do
    python generate_dataset.py --scenario $scenario --n 10000 --seed 42
done

# Run validation
python validate_dataset.py

6. Limitations & Ethical Considerations

Synthetic data: This dataset is synthetically generated and must not be used as a substitute for real budget implementation reports in policy decisions, audit investigations, or official reporting.
Ministry-level aggregation: The dataset represents ministry-level aggregates, not individual project-level data. Actual budget execution varies significantly within ministries.
Revenue assumptions: Revenue realization rates are modeled from aggregate fiscal reports and may not reflect ministry-specific revenue patterns.
Quarterly release simplification: Actual budget releases occur irregularly within quarters; the dataset uses quarterly aggregates.
Carry-over budgets excluded: The model does not capture budget carry-overs from previous fiscal years, which are significant in Nigeria's fiscal system.
Supplementary budgets excluded: The dataset uses main appropriation figures; supplementary budgets are not modeled.
Statutory transfer simplification: Statutory transfers to NASS, judiciary, etc., are modeled but may not reflect actual transfer mechanics.
No project-level data: Records represent ministry-quarter aggregates, not individual projects or contracts.

7. References

Budget Office of the Federation, Budget Implementation Reports 2018-2024.
BudgIT, 2024 FG Budget Analysis, 2024.
Central Bank of Nigeria, Fiscal Policy Reports 2022-2024.
KPMG, Nigeria Budget Newsletter 2023.
ThisDay, Notes on FG's 2024 Budget Performance, 2025.
Punch, Nigeria's 2024 Capital Budget: MDAs Spend Only 25%, 2025.
BusinessDay, Report finds only 52% of FG's 2024 capital projects completed, 2026.
TechEconomy, Wale Edun: Nigeria Records 85% Capital Expenditure Execution in 2024, 2026.
Deloitte, The 2024 Appropriation Act of the Federal Government of Nigeria, 2025.
Guardian, Fiscal indiscipline fuels budget chaos, governance gaps, 2025.

Citation

@dataset{esa_nigeria_budget_2026,
  title={Nigeria Budget Execution Tracking},
  author={{Electric Sheep Africa}},
  year={2026},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/nigeria-budget-execution-tracking},
  license={CC-BY-4.0}
}

License

CC-BY-4.0

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