World Economic Outlook IMF April 2021

World Economic Outlook IMF April 2021 Dataset

@kaggle.kutlukatalay_weoapril2021data

Table List

1 table(36.76 KB)

Weo April 2021 Data

@kaggle.kutlukatalay_weoapril2021data.weo_april_2021_data

36.76 KB
21 rows
45 columns

country Country	ngdp_r NGDP R	ngdp_rpch NGDP RPCH	ngdp NGDP	ngdpd NGDPD	pppgdp PPPGDP	ngdp_d NGDP D	ngdprpc NGDPRPC	ngdprppppc NGDPRPPPPC	ngdppc NGDPPC	ngdpdpc NGDPDPC	ppppc PPPPC	ngap_npgdp NGAP NPGDP	pppsh PPPSH	pppex PPPEX	nid_ngdp NID NGDP	ngsd_ngdp NGSD NGDP	pcpi PCPI	pcpipch PCPIPCH	pcpie PCPIE	pcpiepch PCPIEPCH	tm_rpch TM RPCH	tmg_rpch TMG RPCH	tx_rpch TX RPCH	txg_rpch TXG RPCH	lur LUR	le LE	lp LP	ggr GGR	ggr_ngdp GGR NGDP	ggx GGX	ggx_ngdp GGX NGDP	ggxcnl GGXCNL	ggxcnl_ngdp GGXCNL NGDP	ggsb GGSB	ggsb_npgdp GGSB NPGDP	ggxonlb GGXONLB	ggxonlb_ngdp GGXONLB NGDP	ggxwdn GGXWDN	ggxwdn_ngdp GGXWDN NGDP	ggxwdg GGXWDG	ggxwdg_ngdp GGXWDG NGDP	ngdp_fy NGDP FY	bca BCA	bca_ngdpd BCA NGDPD
Australia	2051.054	4.693	2172.566	1633.29	1450.081	105.924	79778.845	51340.847	84505.238	63529.289	56403.077	-0.987	0.992	1.498	22.939	26.416	119.45	2.819	121.4	3.672	5.783	10.211	-1.584	1.318	5.1	13.05	25.709	763.262	35.132	930.67	42.837	-167.409	-7.706	-162.111	-7.676	-144.705	-6.6609999999999996	775.158	35.679	1299.324	59.806	2172.566	57.761	3.537
Brazil	1210.933	4.619	8679.49	1608.08	3435.897	716.761	5695.592	14710.218	40823.756	7563.562	16160.652		2.351	2.526	16.732	14.995	38400665110472	8.302	40326453615754.1	10.061	14.893	22.022	3.015	4.753	14.201		212.609	2736.24	31.525	3119.318	35.939	-383.079	-4.414	-352.208	-4.011	65.312	0.752	4966.921	57.226	8073.084	93.013	8679.49	-27.926	-1.737
Canada	2090.636	4.563	2496.17	1990.762	2025.395	119.398	54691.245	48229.11	65300.047	52078.515	52984.521	-1.536	1.386	1.232	23.692	23.754	141.608	3.395	144.433	4.738	7.417	8.573	1.371	1.864	7.433	18.872	38.226	1023.742	41.013	1141.246	45.72	-117.504	-4.707	-91.838	-3.623	-132.289	-5.3	829.749	33.241	2797.132	112.057	2496.17	1.238	0.062
China	98847.296	8.08	112585.42	17458.036	27206.271	113.898	69975.432	17531.136	79700.849	12358.797	19259.713		18.619	4.138	41.64	43.457	112.397	0.853	112.997	1.756	10.841	12.058	18.148	16.796	3.96		1412.6	30451.112	27.047	37199.629	33.041	-6748.517	-5.994	-6205.402	-5.431	-5702.917	-5.0650000000000004			82473.13	73.254	112585.42	317.301	1.818
France	2296.579	6.978	2481.593	2935.488	3361.627	108.056	35090.425	46753.81	37917.334	44852.597	51363.756	-1.837	2.301	0.738	24.993	24.059	107.676	2.064	109.087	3.321	7.821	9.524	9.238	8.292	7.85	27.676	65.447	1310.621	52.814	1485.551	59.863	-174.93	-7.049	-148.386	-5.87	-144.349	-5.8170000000000002	2476.851	99.809	2787.602	112.331	2481.593	-27.42	-0.934
Germany	3183.16	2.787	3570.62	4225.924	4856.766	112.172	38261.089	53138.128	42918.298	50794.947	58377.571	-2.073	3.324	0.735	22.65	30.08	109.242	3.212	111.5	5.687	9.133	8.472	9.752	9.921	3.517	41.44	83.196	1705.765	47.772	1838.219	51.482	-132.454	-3.71	-95.027	-2.606	-117.141	-3.2810000000000001	1751.324	49.048	2506.784	70.206	3570.62	313.956	7.429
India	147716.8	8.948	236438.8	3041.985	10218.623	160.062	106117.491	6682.05	169854.02	2185.315	7340.903		6.993	23.138	31.197	29.575	173.905	5.517	166.186	6.144	22.083	22.75	20.869	22.5			1392.012	46676.125	19.741	71149.635	30.092	-24473.51	-10.351	-21628.56	-8.827	-12258.039	-5.1840000000000002			205130	86.758	236438.8	-49.344	-1.622
Indonesia	11118868.5	3.691	16970789.2	1186.067	3566.283	152.631	40840880.666	11923.685	62335657.313	4356.56	13099.366		2.441	4758.677	31.46	31.74	106.546	1.56	107.66	1.874	15.766	15.766	17.934	17.934	6.49		272.249	2307072.593	13.594	3090777.293	18.212	-783704.7	-4.618	-642254.182	-3.611	-440209.2	-2.5939999999999999	6709692.829	39.537	7268288.989	42.828	16970789.2	3.326	0.28
Islamic Republic of Iran	15112985.914	4.011	59904601.5	1426.3	1436.872	396.378	177840251.944	15390.688	704920224.515	16783.815	16908.217		0.983	41690.986	40.869	42.876	367.54	40.132	417.122	34.686	3.168	3.168	21.456	20.46	9.812		84.981	4896140.001	8.173	7615968.425	12.713	-2719828.423	-4.54			-2308163.97	-3.8530000000000002	24833604.588	41.455	28959381.838	48.342	59904601.5	28.628	2.007
Italy	1677.444	6.636	1775.436	2101.276	2734.428	105.842	28317.88	42018.393	29972.146	35472.831	46161.424	-4.101	1.871	0.649	20.007	23.295	105.025	1.941	107.8	4.155	14.526	14.52	13.292	13.251	9.542	22.554	59.236	857.081	48.274	984.47	55.449	-127.389	-7.175	-85.789	-4.634	-67.385	-3.7949999999999999	2454.875	138.269	2678.397	150.859	1775.436	69.088	3.288


CREATE TABLE weo_april_2021_data (
  "country" VARCHAR,
  "ngdp_r" DOUBLE,
  "ngdp_rpch" DOUBLE,
  "ngdp" DOUBLE,
  "ngdpd" DOUBLE,
  "pppgdp" DOUBLE,
  "ngdp_d" DOUBLE,
  "ngdprpc" DOUBLE,
  "ngdprppppc" DOUBLE,
  "ngdppc" DOUBLE,
  "ngdpdpc" DOUBLE,
  "ppppc" DOUBLE,
  "ngap_npgdp" DOUBLE,
  "pppsh" DOUBLE,
  "pppex" DOUBLE,
  "nid_ngdp" DOUBLE,
  "ngsd_ngdp" DOUBLE,
  "pcpi" DOUBLE,
  "pcpipch" DOUBLE,
  "pcpie" DOUBLE,
  "pcpiepch" DOUBLE,
  "tm_rpch" DOUBLE,
  "tmg_rpch" DOUBLE,
  "tx_rpch" DOUBLE,
  "txg_rpch" DOUBLE,
  "lur" DOUBLE,
  "le" DOUBLE,
  "lp" DOUBLE,
  "ggr" DOUBLE,
  "ggr_ngdp" DOUBLE,
  "ggx" DOUBLE,
  "ggx_ngdp" DOUBLE,
  "ggxcnl" DOUBLE,
  "ggxcnl_ngdp" DOUBLE,
  "ggsb" DOUBLE,
  "ggsb_npgdp" DOUBLE,
  "ggxonlb" DOUBLE,
  "ggxonlb_ngdp" VARCHAR,
  "ggxwdn" DOUBLE,
  "ggxwdn_ngdp" DOUBLE,
  "ggxwdg" DOUBLE,
  "ggxwdg_ngdp" DOUBLE,
  "ngdp_fy" DOUBLE,
  "bca" DOUBLE,
  "bca_ngdpd" DOUBLE
);