Just the Facts
Facts on Select Canadian Industries Impacted by Tariffs

On June 1^st, the United States implemented tariffs of 25% on selected steel products. Statistics Canada estimates that a $1 million reduction in steel exports results in the loss of $0.66 million of value added and 5.25 jobs. On May 17_th 2019, it was announced that the US tariffs on imports of Canadian steel products would be lifted in a matter of days.

Economic Indicators on the Steel Industry
Table summary
This table displays the results of Economic Indicators on the Steel Industry Gross Domestic Product, Manufacturing Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 3311, NAICS 3312, NAPCS 311 and 312, NAPCS P61, Seasonally adjusted at annual rates, Not seasonally adjusted and Seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product				Manufacturing Sales				Imports		Exports		Employment				Industrial Product Prices
	NAICS 3311		NAICS 3312		NAICS 3311		NAICS 3312		NAPCS 311 and 312		NAPCS 311 and 312		NAICS 3311		NAICS 3312		NAPCS P61
	Seasonally adjusted at annual rates				Not seasonally adjusted				Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted				Not seasonally adjusted
	chained dollars (millions)	% change	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	number of employees	% change	index, 2010=100	% change
2019
September	2,158	2.2	1,658	9.2	998	-1.1	469	11.9	907	-6.1	825	12.4	16,814	-1.2	8,886	-2.4	112.2	-0.1
August	2,112	-4.1	1,518	-4.8	1,009	6.4	419	-3.4	967	0.8	734	8.0	17,025	-1.1	9,100	3.3	112.3	0.0
July	2,202	-9.5	1,594	3.6	948	-15.2	434	-3.6	959	-2.7	679	5.2	17,215	0.7	8,808	0.5	112.3	-1.4
June	2,433	5.4	1,539	-7.1	1,119	10.1	450	-13.0	986	-2.2	646	21.3	17,102	-2.6	8,760	4.3	113.9	-1.4
May	2,309	10.9	1,657	3.1	1,016	-0.3	518	20.4	1,008	13.8	532	-11.5	17,560	1.2	8,400	0.2	115.5	-0.4
April	2,082	-9.4	1,607	2.1	1,019	-14.4	430	-9.3	886	-17.3	602	-5.0	17,360	5.5	8,387	0.3	116.0	-0.2
March	2,298	2.8	1,574	-2.0	1,190	24.2	474	7.3	1,072	7.4	634	-6.4	16,459	-2.5	8,359	0.0	116.2	-0.2
February	2,235	-1.4	1,606	-8.5	958	-11.3	442	-26.1	998	-8.3	677	-7.4	16,888	4.9	8,358	1.2	116.4	-1.3
January	2,266	-13.3	1,756	-0.5	1,081	1.8	598	25.6	1,088	-1.4	730	-6.9	16,100	-13.9	8,261	-2.1	117.9	-0.3
2018
December	2,613	6.0	1,765	-0.8	1,062	-6.4	476	-17.9	1,103	-0.3	784	6.8	18,701	12.6	8,436	-0.1	118.2	1.0
November	2,466	-2.6	1,780	-6.6	1,135	-2.9	580	2.4	1,107	0.5	734	-0.7	16,609	3.2	8,445	-0.3	117.0	0.1
October	2,531	6.7	1,906	10.0	1,169	7.5	566	22.4	1,102	-13.6	740	-4.0	16,101	-1.3	8,471	10.4	116.9	-0.4
September	2,371	-4.9	1,733	-2.3	1,087	-7.6	463	-14.8	1,276	14.4	771	-0.4	16,307	-2.9	7,674	-1.4	117.4	0.3
August	2,494	-2.2	1,774	-0.2	1,176	6.7	543	10.7	1,115	-5.7	774	3.6	16,801	0.3	7,781	-0.3	117.0	0.3
July	2,550	2.2	1,777	-2.8	1,103	-0.9	491	-5.2	1,183	-15.5	747	7.7	16,743	6.9	7,804	1.2	116.6	0.9
June	2,496	-1.2	1,828	-0.9	1,113	-12.0	518	-5.3	1,400	19.2	693	-23.0	15,661	3.7	7,708	0.6	115.6	2.5
May	2,527	-4.5	1,844	5.2	1,264	4.4	547	22.6	1,175	2.3	900	-8.7	15,095	0.2	7,665	2.0	112.8	3.1
April	2,646	5.0	1,753	-1.2	1,210	6.1	446	-18.4	1,148	2.3	986	11.1	15,063	-2.4	7,514	0.1	109.4	1.7
March	2,519	-2.5	1,775	6.0	1,141	23.1	547	21.1	1,123	4.7	887	11.9	15,440	-1.0	7,510	-2.2	107.6	3.8
February	2,583	7.8	1,675	-1.6	926	-4.0	452	-11.4	1,072	4.0	793	5.0	15,593	2.0	7,678	2.5	103.7	1.5
January	2,396	-5.5	1,702	-2.3	965	14.1	509	6.5	1,031	-0.8	755	-0.6	15,291	-0.1	7,491	-1.5	102.2	-0.6
2017
December	2,535	1.6	1,742	-4.1	846	-11.3	478	-9.4	1,040	-3.3	760	-1.0	15,306	-6.2	7,605	1.0	102.8	0.6
November	2,495	-0.3	1,817	4.1	953	0.4	528	5.2	1,075	5.2	768	-1.1	16,315	1.6	7,529	-4.5	102.2	-0.2
October	2,502	4.0	1,745	-2.5	949	6.2	502	12.7	1,022	-1.3	777	3.5	16,060	2.9	7,883	0.2	102.4	2.0
September	2,405	-6.1	1,789	-2.1	894	-8.0	445	-10.2	1,035	-9.9	750	1.7	15,614	-1.6	7,867	1.2	100.4	-0.6
August	2,562	5.3	1,828	10.3	972	7.2	496	29.7	1,148	11.9	737	1.5	15,860	-2.8	7,770	3.9	101.0	-3.3
July	2,434	-1.7	1,658	-3.7	907	-9.4	382	-17.9	1,026	-9.4	727	-3.1	16,313	0.9	7,475	1.8	104.5	-2.3
June	2,477	9.0	1,722	1.1	1,001	-4.3	465	-4.2	1,133	-5.7	750	-2.8	16,170	-3.8	7,343	3.0	107.0	-0.7
May	2,272	-7.9	1,704	-1.7	1,046	8.4	486	17.9	1,201	18.8	772	-1.9	16,813	6.7	7,126	4.4	107.8	3.3
April	2,466	-0.7	1,733	2.5	965	-11.2	412	-19.3	1,012	7.0	787	7.9	15,761	4.9	6,824	-3.0	104.4	-1.4
March	2,484	3.9	1,690	1.2	1,087	15.3	511	17.7	945	1.5	729	-0.2	15,024	1.9	7,037	1.8	105.9	1.8
February	2,391	-2.8	1,670	9.2	943	-4.8	434	10.4	932	2.3	731	0.2	14,745	-1.3	6,914	2.1	104.0	2.6
January	2,461	7.0	1,530	9.9	990	19.0	393	12.6	911	1.9	729	11.9	14,943	6.1	6,769	-2.6	101.4	1.2
2016
December	2,301	-1.7	1,392	3.9	832	-4.7	349	-19.9	894	2.7	652	-3.3	14,080	-3.3	6,953	4.1	100.2	-0.4
November	2,340	5.6	1,340	7.3	873	2.6	436	24.3	870	4.7	674	1.5	14,561	-2.9	6,678	2.9	100.6	0.1
October	2,216	-6.3	1,249	-7.1	851	-1.8	351	0.9	831	-5.2	664	7.4	14,999	-4.9	6,489	-0.6	100.5	-0.1
September	2,365	1.4	1,345	5.9	867	-11.2	347	6.5	877	6.2	618	-6.5	15,766	1.1	6,525	2.5	100.6	-0.8
August	2,332	1.2	1,270	-0.2	976	13.4	326	16.2	826	1.9	661	5.3	15,596	-2.1	6,367	-1.9	101.4	1.6
July	2,304	-2.3	1,272	-1.7	861	-9.5	281	-21.3	810	5.9	628	3.8	15,934	0.0	6,489	-1.0	99.8	1.9
June	2,359	-2.3	1,294	2.4	952	0.7	357	4.3	765	-8.8	605	0.5	15,936	-5.3	6,557	1.5	97.9	2.3
May	2,415	-1.3	1,264	-4.9	945	7.0	342	-1.5	839	7.4	602	9.3	16,830	-0.4	6,460	-0.3	95.7	1.7
April	2,448	2.7	1,329	-4.1	883	-3.6	347	-8.2	781	1.5	551	0.5	16,897	0.5	6,477	-3.0	94.1	0.0
March	2,383	-4.4	1,386	6.8	916	6.2	378	7.3	770	-14.0	548	-9.6	16,819	-2.4	6,680	-2.6	94.1	-2.0
February	2,493	-1.1	1,298	-4.1	862	-2.6	352	-2.9	894	-5.1	607	-14.2	17,230	7.2	6,858	4.4	96.0	-1.0
January	2,520	8.1	1,353	1.8	886	15.3	363	2.2	943	17.4	707	8.7	16,078	-3.5	6,570	-9.8	97.0	-1.1
2015
December	2,332	2.0	1,329	-2.0	768	-11.9	355	-0.9	803	-3.1	651	3.2	16,656	-2.6	7,285	1.5	98.1	-2.2
November	2,286	-1.3	1,356	-5.0	871	-2.4	358	-8.4	829	-4.0	631	-1.9	17,103	-0.3	7,180	-0.4	100.3	-0.7
October	2,317	-3.8	1,427	8.4	893	-8.2	391	3.0	863	2.9	643	-7.8	17,160	2.8	7,212	1.7	101.0	-3.2
September	2,408	-2.9	1,316	-0.9	973	2.4	380	11.3	839	-3.4	697	-4.7	16,690	-2.8	7,092	-1.1	104.3	-0.5
August	2,480	1.4	1,328	-2.4	951	1.9	341	-2.0	868	-4.4	732	7.9	17,179	-1.9	7,168	-2.8	104.8	0.7
July	2,446	4.4	1,360	-1.1	933	-4.0	348	-11.2	908	-4.9	678	-2.7	17,514	-2.6	7,373	3.8	104.1	1.2
June	2,344	-2.1	1,375	9.6	972	6.8	392	1.2	955	3.9	697	7.1	17,974	7.1	7,103	1.5	102.9	-2.0
May	2,395	2.5	1,254	3.6	910	1.8	387	13.3	919	-9.2	651	-5.0	16,784	2.5	7,000	-10.6	105.0	-0.2
April	2,337	-0.4	1,210	-9.7	894	-11.4	342	-18.3	1,012	-5.7	685	-6.3	16,368	-1.1	7,832	4.1	105.2	-1.5
March	2,347	0.8	1,340	-2.7	1,009	8.8	418	4.3	1,073	-2.2	731	-2.0	16,553	3.3	7,527	-2.7	106.8	-1.4
February	2,328	-0.3	1,377	-7.0	927	-7.7	401	-12.0	1,097	-1.3	746	3.0	16,018	1.6	7,734	0.1	108.3	-0.6
January	2,336	-9.4	1,480	-6.7	1,004	2.9	456	-10.7	1,111	-11.0	724	-7.9	15,764	- 5	7,723	2	108.9	1.2
Source: Gross Domestic Product – (Table 36-10-0434-01) – Gross domestic product of Iron and steel mills and ferro-alloy manufacturing [NAICS 3311] and Steel product manufacturing from purchased steel [NAICS 3312] in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales of Iron and steel mills and ferro-alloy manufacturing [NAICS 3311] and Steel product manufacturing from purchased steel [NAICS 3312], in current dollars Imports – (Table 12-10-0121-01) – Sum of imports of Unwrought iron, steel and ferro-alloys [NAPCS 311], and Basic and semi-finished iron and steel products [NAPCS 312], in current dollars Exports – (Table 12-10-0121-01) – Sum of exports of Unwrought iron, steel and ferro-alloys [NAPCS 311], and Basic and semi-finished iron and steel products [NAPCS 312], in current dollars Employment – (Table 14-10-0201-01) – Employment in Iron and steel mills and ferro-alloy manufacturing [NAICS 3311] and Steel product manufacturing from purchased steel [NAICS 3312] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Primary ferrous metal products [NAPCS P61]

On June 1^st, the United States implemented tariffs of 10% on selected aluminum products. Statistics Canada estimates that a $1 million reduction in aluminum exports results in the loss of $0.62 million of value added and 4.64 jobs. On May 17_th 2019, it was announced that the US tariffs on imports of Canadian aluminum products would be lifted in a matter of days.

Economic Indicators on the Aluminum Industry
Table summary
This table displays the results of Economic Indicators on the Aluminum Industry Gross Domestic Product, Manufacturing Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 3313, NAPCS 321 and 327, NAPCS 321, NAPCS 327, Seasonally adjusted at annual rates, Not seasonally adjusted and Seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product		Manufacturing Sales		Imports		Exports		Employment		Industrial Product Prices
	NAICS 3313		NAICS 3313		NAPCS 321 and 327		NAPCS 321 and 327		NAICS 3313		NAPCS 321		NAPCS 327
	Seasonally adjusted at annual rates		Not seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted		Not seasonally adjusted
	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	index, 2010=100	% change	index, 2010=100	% change
2019
September	3,121	1.1	803	-6.6	250	3.4	723	-3.1	9,895	-4.8	88.4	-1.2	119.1	0.4
August	3,086	0.0	860	2.2	242	-2.8	746	-4.2	10,394	6.9	89.5	-2.0	118.6	-2.7
July	3,086	0.4	841	1.4	249	6.2	778	17.6	9,723	1.8	91.3	0.9	121.9	1.5
June	3,075	1.2	829	-5.9	234	-1.3	662	29.8	9,555	-1.1	90.5	-5.1	120.1	-0.3
May	3,040	-4.0	881	-0.8	238	-5.5	510	-20.1	9,660	0.8	95.4	-2.5	120.5	-1.6
April	3,167	-0.8	889	-2.4	251	3.5	638	3.4	9,587	0.5	97.8	-3.3	122.4	0.6
March	3,191	2.6	910	18.6	243	-5.0	617	-5.3	9,544	0.8	101.1	0.4	121.7	-2.2
February	3,109	-3.6	768	-9.4	255	-16.2	651	5.3	9,472	-2.3	100.7	1.4	124.5	-1.9
January	3,225	-1.8	847	2.7	305	20.2	619	-11.9	9,696	11.5	99.3	-3.2	126.9	-0.1
2018
December	3,283	2.9	825	-10.5	254	-9.6	702	-5.5	8,695	0.3	102.6	3.5	127.0	0.8
November	3,190	1.1	922	3.3	281	-8.0	743	2.8	8,668	8.9	99.1	-2.0	126.0	-0.1
October	3,155	-1.1	892	-1.1	305	18.3	722	-8.7	7,963	-14.3	101.1	-3.3	126.1	0.0
September	3,190	-3.5	903	-3.0	258	-13.9	791	-5.4	9,297	-4.9	104.5	-4.3	126.1	-0.8
August	3,306	5.2	931	-3.1	299	-2.0	836	-4.0	9,781	-6.3	109.2	-5.8	127.1	-2.6
July	3,144	-1.4	961	-1.7	306	0.4	871	-5.6	10,436	-1.1	115.9	-3.1	130.5	3.2
June	3,190	-0.7	978	-5.3	304	-0.3	923	2.4	10,548	1.0	119.6	-2.8	126.4	2.8
May	3,214	-1.4	1,033	1.4	305	5.6	901	-0.7	10,444	1.8	123.0	2.2	122.9	1.8
April	3,261	2.2	1,018	3.6	289	3.8	907	8.5	10,256	-0.3	120.3	3.9	120.7	2.5
March	3,191	4.6	983	18.1	279	0.9	836	-2.7	10,289	1.4	115.8	0.3	117.7	1.1
February	3,052	4.0	832	-1.3	276	6.8	859	13.7	10,142	1.0	115.4	0.7	116.4	-0.1
January	2,936	-4.6	843	0.4	259	1.5	756	-8.6	10,038	-4.9	114.6	1.2	116.5	0.5
2017
December	3,076	-1.5	840	-2.1	255	-0.7	827	1.1	10,550	-2.1	113.2	-1.8	115.9	2.7
November	3,122	0.0	858	-6.2	257	7.1	818	-2.1	10,773	1.5	115.3	1.1	112.9	2.5
October	3,122	1.1	915	8.6	240	15.1	835	2.1	10,612	-4.9	114.0	5.2	110.1	0.1
September	3,087	-1.5	842	0.8	208	-11.1	818	6.8	11,157	6.7	108.4	-0.1	110.0	0.2
August	3,134	-1.4	836	-0.6	234	-1.8	766	-1.9	10,459	0.4	108.5	5.8	109.8	-2.6
July	3,180	0.4	841	-5.3	238	-1.2	782	-0.4	10,420	1.8	102.6	-3.6	112.7	-1.5
June	3,168	0.8	888	-4.1	241	-7.4	785	-0.2	10,231	-0.3	106.4	-4.5	114.4	1.2
May	3,144	0.0	926	4.3	261	13.5	786	-17.1	10,266	1.7	111.4	0.2	113.0	1.8
April	3,144	0.3	887	-0.9	230	-2.7	948	18.7	10,090	-8.3	111.2	0.9	111.0	2.7
March	3,135	1.3	895	15.6	236	9.3	799	6.3	11,001	4.7	110.2	5.5	108.1	1.0
February	3,095	-1.1	774	-2.7	216	0.8	751	-1.0	10,512	6.1	104.5	2.8	107.0	0.4
January	3,129	1.5	796	4.6	214	-3.0	759	4.2	9,904	3.7	101.7	1.6	106.6	0.3
2016
December	3,082	-2.9	761	-7.7	221	-1.5	729	-6.4	9,548	2.5	100.1	-1.0	106.3	2.4
November	3,174	-0.7	824	3.8	224	1.7	779	14.0	9,319	-5.2	101.1	3.4	103.8	1.0
October	3,197	-0.7	794	0.6	221	2.8	683	-3.3	9,826	-1.5	97.8	3.3	102.8	0.2
September	3,220	-0.7	789	-7.1	215	-5.2	706	4.3	9,980	-2.2	94.7	-0.7	102.6	0.1
August	3,244	1.4	849	10.4	226	11.9	677	2.5	10,206	1.5	95.4	1.0	102.5	0.9
July	3,199	-1.8	769	0.4	202	-4.4	661	8.0	10,054	5.2	94.5	2.5	101.6	0.4
June	3,258	1.7	766	-4.7	212	1.7	612	-4.5	9,553	2.1	92.2	0.5	101.2	0.4
May	3,202	-0.4	805	6.1	208	-3.3	641	10.3	9,359	-2.0	91.7	2.2	100.8	-1.5
April	3,216	0.2	758	-10.1	215	1.6	581	-7.7	9,552	5.5	89.7	-4.7	102.3	-2.9
March	3,208	-0.8	844	4.2	212	-13.4	629	1.9	9,056	-2.2	94.1	-3.7	105.4	-1.7
February	3,234	-0.9	810	0.2	245	3.0	618	-15.1	9,260	-0.7	97.7	-1.5	107.2	-1.1
January	3,262	2.9	808	1.0	238	3.8	727	12.9	9,328	-4.7	99.2	2.2	108.4	1.7
2015
December	3,170	4.5	800	3.3	229	7.4	644	1.0	9,789	1.1	97.1	4.7	106.6	-0.1
November	3,033	-0.8	774	-1.4	213	-4.7	638	-1.9	9,683	-2.7	92.7	-3.0	106.7	-2.5
October	3,058	1.7	785	8.6	224	-3.5	650	3.5	9,956	-0.1	95.6	-3.8	109.4	-1.1
September	3,008	1.7	722	0.3	232	1.1	628	3.3	9,965	-2.7	99.4	2.5	110.6	-1.3
August	2,957	0.3	720	-0.4	229	-4.6	608	-8.4	10,239	-4.1	97.0	-2.2	112.1	0.2
July	2,948	-0.8	723	-8.8	240	2.3	664	1.1	10,681	3.0	99.2	1.2	111.9	-1.8
June	2,972	-2.5	793	-2.2	235	10.1	657	4.6	10,366	6.0	98.0	-2.0	114.0	-2.3
May	3,049	0.0	811	-2.9	213	-6.7	628	-6.4	9,782	-0.6	100.0	-1.6	116.7	-2.7
April	3,050	-1.4	835	-8.7	229	-5.3	671	1.9	9,838	-1.7	101.6	-0.5	119.9	-1.2
March	3,094	-1.1	915	14.6	241	1.3	658	-4.1	10,011	1.3	102.1	-1.7	121.4	2.2
February	3,127	-1.7	799	-5.9	238	3.3	687	1.2	9,878	0.5	103.9	3.1	118.8	2.6
January	3,182	-1.5	849	0.4	231	1.1	679	-15.4	9,833	-5.2	100.8	-0.7	115.8	2.0
Source: Gross Domestic Product – (Table 36-10-0434-01) – GDP consists of Alumina and aluminum production and processing [NAICS 3313] in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales consists of Alumina and aluminum production and processing [NAICS 3313], in current dollars Imports – (Table Table 12-10-0121-01) – Sum of imports of Unwrought aluminum and aluminum-alloys [NAPCS 321] and Basic and semi-finished products of aluminum and aluminum alloys [NAPCS 327], in current dollars Exports – (Table Table 12-10-0121-01) – Sum of exports of Unwrought aluminum and aluminum-alloys [NAPCS 321] and Basic and semi-finished products of aluminum and aluminum alloys [NAPCS 327], in current dollars Employment – (Table 14-10-0201-01) – employment consists of Alumina and aluminum production and processing [NAICS 3313] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Unwrought aluminum and aluminum alloys [NAPCS 321] and Basic and semi-finished products of aluminum and aluminum alloys [NAPCS 327]

Since April 2017, the United States has implemented various tariffs on softwood lumber products.

Economic Indicators on the Lumber Industry
Table summary
This table displays the results of Economic Indicators on the Lumber Industry Gross Domestic Product, Manufacturing Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 113, NAICS 321, NAPCS 241, NAICS 1133, NAPCS 24112, Seasonally adjusted at annual rates, Seasonally adjusted and Not seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product				Manufacturing Sales		Imports		Exports		Employment				Industrial Product Prices
	NAICS 113		NAICS 321		NAICS 321		NAPCS 241		NAPCS 241		NAICS 1133		NAICS 321		NAPCS 24112
	Seasonally adjusted at annual rates				Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted				Not seasonally adjusted
	chained dollars (millions)	% change	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	number of employees	% change	index, 2010=100	% change
2019
September	3,482	-4.6	7,999	-1.7	2,387	0.7	196	1.8	974	-0.8	24,913	-0.6	92,018	-2.1	152.2	2.4
August	3,649	-2.6	8,136	-2.4	2,369	-0.5	193	-0.5	982	0.2	25,060	-1.2	93,985	-1.6	148.7	-2.2
July	3,747	-2.7	8,336	2.4	2,380	-0.4	194	-2.9	980	-1.7	25,376	1.3	95,543	-0.2	152.1	3.0
June	3,851	0.4	8,138	-7.1	2,389	-2.4	199	4.3	998	-3.1	25,054	17.8	95,773	0.0	147.7	1.2
May	3,835	1.8	8,759	4.9	2,449	-0.1	191	2.5	1,030	-8.8	21,267	-5.2	95,817	1.7	146.0	-3.2
April	3,769	-3.2	8,347	-2.6	2,451	-1.0	186	0.1	1,129	3.9	22,445	-13.8	94,199	2.1	150.9	-4.4
March	3,892	0.3	8,568	0.4	2,476	-0.6	186	-2.4	1,086	4.5	26,049	-1.6	92,306	-0.6	157.8	0.1
February	3,882	-2.1	8,532	-0.6	2,491	-7.1	191	-4.1	1,039	-3.6	26,468	1.2	92,903	1.2	157.7	6.0
January	3,964	-0.8	8,583	1.5	2,681	3.5	199	-2.0	1,078	-1.2	26,163	-4.2	91,810	-2.9	148.8	0.6
2018
December	3,997	1.9	8,457	-4.0	2,589	-0.8	203	0.1	1,092	0.5	27,302	-1.0	94,580	-0.3	147.9	1.4
November	3,924	3.9	8,808	0.6	2,611	-0.1	203	-1.4	1,087	-5.2	27,591	2.1	94,860	0.8	145.9	-1.6
October	3,776	-1.3	8,758	-2.8	2,615	-7.5	206	1.1	1,146	-10.4	27,024	0.7	94,088	-0.6	148.2	-13.7
September	3,827	-4.2	9,010	-0.4	2,827	-3.8	203	6.7	1,279	-1.1	26,841	1.2	94,680	0.6	171.7	-3.3
August	3,996	-3.3	9,042	0.1	2,940	-3.9	191	-8.1	1,294	-8.2	26,523	0.0	94,129	-1.3	177.5	-12.0
July	4,134	0.4	9,030	-1.8	3,061	-1.3	208	1.0	1,409	-7.6	26,527	6.4	95,366	0.0	201.7	-4.1
June	4,117	-0.1	9,199	3.1	3,101	0.3	206	-0.4	1,525	8.1	24,941	13.9	95,410	1.2	210.4	2.4
May	4,120	0.2	8,924	-4.4	3,092	4.4	206	1.9	1,411	9.3	21,904	-3.7	94,258	2.0	205.4	8.5
April	4,113	1.5	9,334	4.3	2,963	1.6	203	-1.9	1,291	2.3	22,746	-10.8	92,412	1.0	189.3	-1.0
March	4,053	0.5	8,947	-1.8	2,917	1.6	206	3.7	1,262	6.2	25,510	-0.1	91,470	0.5	191.2	3.4
February	4,031	-0.3	9,107	-0.7	2,870	5.7	199	3.8	1,189	4.4	25,530	1.1	91,003	-0.3	185.0	6.0
January	4,044	0.5	9,168	-4.2	2,716	-5.9	192	-6.0	1,139	-14.1	25,241	-5.3	91,312	-2.1	174.5	-1.6
2017
December	4,022	1.9	9,571	1.7	2,887	-0.3	204	-0.4	1,326	-4.3	26,647	-0.6	93,312	0.6	177.4	-2.3
November	3,947	-0.3	9,415	0.4	2,897	-2.1	205	1.4	1,386	6.0	26,796	-0.7	92,720	-0.1	181.6	3.2
October	3,958	0.8	9,373	1.7	2,959	5.7	202	-2.2	1,307	7.0	26,992	-1.6	92,804	-1.2	176.0	6.8
September	3,927	0.5	9,215	1.3	2,799	2.2	206	-0.4	1,221	5.5	27,439	1.2	93,956	-0.5	164.8	0.4
August	3,906	1.2	9,094	0.3	2,739	3.4	207	5.7	1,157	5.9	27,106	2.5	94,425	-1.0	164.1	3.1
July	3,858	2.1	9,067	1.6	2,649	2.2	196	1.9	1,093	-3.8	26,442	5.0	95,381	-1.1	159.1	1.7
June	3,777	-5.3	8,925	-1.4	2,591	-1.3	192	-4.8	1,136	-4.4	25,184	20.3	96,453	2.9	156.5	-2.5
May	3,990	-0.7	9,054	0.4	2,625	-3.2	202	1.8	1,188	-15.5	20,942	-4.7	93,700	2.1	160.5	-1.1
April	4,018	-1.7	9,018	-1.1	2,712	2.7	199	-0.4	1,405	10.0	21,980	-15.1	91,762	0.1	162.3	4.4
March	4,089	2.6	9,120	1.6	2,642	3.4	200	3.3	1,278	6.1	25,899	-3.7	91,703	1.1	155.5	3.3
February	3,984	3.4	8,975	-2.8	2,554	-0.5	193	2.7	1,205	-6.4	26,902	2.9	90,741	0.8	150.6	5.2
January	3,852	0.9	9,237	2.3	2,568	0.3	188	-4.4	1,287	2.0	26,139	-5.5	90,019	-3.1	143.1	0.9
2016
December	3,817	-2.6	9,027	-0.3	2,560	-0.7	197	-2.5	1,262	0.6	27,666	2.1	92,860	0.9	141.8	-0.1
November	3,920	-3.8	9,051	-0.2	2,579	3.2	202	8.8	1,254	3.0	27,103	0.3	92,045	-0.1	142.0	-1.0
October	4,075	-3.4	9,065	0.6	2,500	1.2	185	-1.6	1,218	-1.7	27,012	-0.8	92,177	-1.4	143.4	-0.6
September	4,218	2.7	9,015	1.8	2,470	-0.3	188	1.4	1,239	-1.9	27,218	0.6	93,486	0.6	144.2	-1.0
August	4,108	0.5	8,857	0.0	2,477	0.3	186	-3.3	1,262	3.0	27,064	0.2	92,947	-3.2	145.7	0.6
July	4,089	2.5	8,860	-1.8	2,470	0.5	192	-2.9	1,226	5.8	27,020	3.7	95,997	-0.3	144.9	1.3
June	3,988	2.1	9,024	1.0	2,458	1.4	198	1.6	1,159	1.9	26,047	20.9	96,305	3.0	143.0	1.1
May	3,906	-2.2	8,937	3.2	2,424	1.2	195	-1.7	1,137	2.9	21,544	2.4	93,456	3.4	141.5	2.2
April	3,992	-0.2	8,662	-4.1	2,396	-2.7	198	8.0	1,105	-0.9	21,036	-17.6	90,367	1.4	138.5	0.7
March	4,002	-2.8	9,036	-0.1	2,463	-2.3	184	-8.1	1,115	-4.5	25,543	-3.7	89,085	-0.2	137.5	0.6
February	4,117	-3.1	9,049	0.4	2,522	1.1	200	1.3	1,167	-2.2	26,516	1.3	89,269	-0.1	136.7	-3.0
January	4,248	1.8	9,009	-2.9	2,495	0.2	197	4.7	1,193	10.1	26,174	-4.7	89,377	-3.5	141.0	2.1
2015
December	4,173	-2.0	9,275	6.8	2,489	5.4	188	-0.4	1,084	0.3	27,453	-1.9	92,663	0.6	138.1	1.4
November	4,256	-2.0	8,683	2.2	2,362	2.4	189	2.7	1,080	11.7	27,998	-0.4	92,114	-0.9	136.2	2.8
October	4,343	1.7	8,493	2.7	2,306	0.2	184	-0.3	967	-6.0	28,109	-0.1	92,910	0.0	132.5	-1.6
September	4,272	3.0	8,269	-5.2	2,302	1.2	185	-0.9	1,028	-2.8	28,147	0.9	92,912	-0.1	134.6	-3.5
August	4,149	0.8	8,721	4.4	2,276	5.1	186	0.3	1,058	8.2	27,895	0.5	93,048	-2.0	139.5	0.9
July	4,117	-3.4	8,357	0.3	2,166	-0.3	186	3.4	978	-2.2	27,744	6.8	94,902	1.6	138.3	4.9
June	4,260	-3.9	8,332	2.0	2,172	1.6	180	1.3	999	5.6	25,973	12.7	93,364	-0.2	131.8	5.1
May	4,432	2.2	8,171	-1.4	2,139	-1.4	177	2.1	946	-1.8	23,050	0.1	93,570	3.0	125.4	-3.4
April	4,338	1.8	8,289	-0.2	2,169	-1.9	174	-9.4	963	-5.2	23,034	-12.1	90,834	2.4	129.8	-5.2
March	4,260	-1.2	8,309	2.3	2,210	-3.3	192	4.9	1,016	1.4	26,209	-1.7	88,678	-0.2	136.9	-3.4
February	4,311	1.8	8,124	0.3	2,285	2.0	183	-3.6	1,001	1.3	26,665	2.4	88,881	1.6	141.7	0.8
January	4,233	1.4	8,101	-2.5	2,241	-0.8	189	1.5	989	0.7	26,048	- 4	87,498	- 5	140.6	3
Source: Gross Domestic Product – (Table 36-10-0434-01) – Gross domestic product of Forestry and logging [NAICS 113] and Wood product manufacturing [NAICS 321] in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales of Wood product manufacturing [NAICS 321], in current dollars Imports – (Table 12-10-0121-01) – Imports of Lumber and other sawmill and millwork products [NAPCS 241], in current dollars Exports – (Table 12-10-0121-01) – Exports of Lumber and other sawmill and millwork products [NAPCS 241], in current dollars Employment – (Table 14-10-0201-01) – Employment in Logging [NAICS 1133] and Wood product manufacturing [NAICS 321] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Softwood lumber (except tongue and groove and other edge worked lumber) [NAPCS 24112]

The United States is considering implementing new tariffs on automobiles. Statistics Canada estimates that a $1 million reduction in automotive exports results in the loss of $0.39 million of value added and 2.99 jobs.

Economic Indicators on the Auto Industry
Table summary
This table displays the results of Economic Indicators on the Auto Industry Gross Domestic Product, Manufacturing Sales, Wholesale Trade Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 3361, NAICS 4151, NAPCS 411, Seasonally adjusted at annual rates, Seasonally adjusted and Not seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and Index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product		Manufacturing Sales		Wholesale Trade Sales		Imports		Exports		Employment		Industrial Product Prices
	NAICS 3361		NAICS 3361		NAICS 4151		NAPCS 411		NAPCS 411		NAICS 3361		NAPCS 411
	Seasonally adjusted at annual rates		Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted		Not seasonally adjusted
	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	Index, 2010=100	% change
2019
September	6,504	1.4	5,511	2.9	8,772	-0.9	4,351	-1.2	5,439	1.8	43,676	-2.0	114.5	-0.1
August	6,414	-2.2	5,355	3.1	8,852	-1.7	4,402	-1.5	5,344	-3.7	44,583	-1.4	114.6	0.2
July	6,557	-2.7	5,192	-4.4	9,001	4.7	4,468	0.9	5,549	1.3	45,215	-0.4	114.4	0.0
June	6,738	0.4	5,431	-0.2	8,593	-2.4	4,429	0.6	5,478	-4.8	45,403	1.0	114.4	0.1
May	6,708	11.1	5,441	13.1	8,805	-5.1	4,404	-1.3	5,754	17.5	44,958	1.9	114.3	0.2
April	6,038	-7.0	4,809	-8.5	9,275	3.0	4,462	0.8	4,897	-6.4	44,107	0.2	114.1	-0.1
March	6,493	2.1	5,256	6.9	9,003	-2.3	4,425	1.4	5,234	8.5	44,022	-0.8	114.2	0.1
February	6,357	-1.0	4,918	-3.2	9,210	10.7	4,365	1.5	4,824	-3.2	44,388	-0.8	114.1	0.3
January	6,423	2.8	5,079	-0.4	8,319	-4.0	4,300	2.3	4,984	1.0	44,742	0.0	113.8	0.0
2018
December	6,248	-2.3	5,102	1.0	8,667	4.8	4,202	9.0	4,932	-1.6	44,737	1.5	113.8	-0.1
November	6,397	-4.7	5,054	-1.4	8,271	1.0	3,855	-2.7	5,013	-2.6	44,069	-0.5	113.9	0.0
October	6,712	2.5	5,124	1.2	8,190	-3.1	3,962	-4.7	5,149	6.5	44,305	-0.4	113.9	0.1
September	6,549	7.3	5,064	8.3	8,451	0.6	4,158	-2.7	4,835	-0.9	44,471	-1.6	113.8	0.4
August	6,103	-2.6	4,675	-8.6	8,403	-1.6	4,272	1.8	4,881	-10.3	45,174	0.4	113.4	-0.1
July	6,266	-1.2	5,117	0.1	8,535	1.0	4,196	-2.9	5,441	6.4	44,974	-1.9	113.5	0.4
June	6,344	-0.1	5,111	2.1	8,448	-2.8	4,320	-1.9	5,115	4.6	45,845	2.1	113.1	0.0
May	6,353	-8.2	5,004	-5.9	8,687	-3.9	4,404	-0.5	4,890	-4.9	44,896	5.4	113.1	-0.2
April	6,922	5.2	5,317	4.2	9,040	-3.7	4,428	-8.8	5,144	3.4	42,578	-0.8	113.3	0.6
March	6,578	-4.5	5,104	-4.3	9,390	8.6	4,856	14.4	4,977	-4.1	42,917	-0.2	112.6	-0.8
February	6,891	10.6	5,333	12.5	8,647	-6.5	4,246	0.7	5,190	7.9	42,990	1.1	113.5	0.1
January	6,229	-5.5	4,738	-10.8	9,253	-0.2	4,217	-2.4	4,811	-8.7	42,508	-1.5	113.4	0.1
2017
December	6,590	-3.2	5,312	1.3	9,273	-2.9	4,322	-0.2	5,271	-0.6	43,161	Note ...: not applicable	113.3	0.1
November	6,805	19.4	5,241	17.2	9,546	-0.2	4,331	0.4	5,305	20.7	Note ..: not available for a specific reference period	Note ...: not applicable	113.2	0.3
October	5,699	-9.8	4,470	-10.5	9,564	-1.5	4,315	-9.8	4,394	-2.7	41,777	-5.0	112.9	1.3
September	6,320	-0.8	4,993	-6.6	9,708	2.1	4,782	8.4	4,515	-14.1	43,992	-1.3	111.4	-2.1
August	6,374	-1.1	5,346	12.8	9,507	3.5	4,411	-0.2	5,258	1.7	44,572	2.3	113.8	-0.3
July	6,446	-13.0	4,739	-18.6	9,186	0.1	4,419	4.3	5,172	-13.3	43,588	-1.9	114.1	-3.2
June	7,413	2.5	5,824	-5.3	9,177	-0.5	4,238	-1.1	5,968	-2.7	44,413	1.0	117.9	-1.7
May	7,235	-0.5	6,150	12.4	9,223	4.0	4,283	3.6	6,135	4.6	43,969	1.2	119.9	0.1
April	7,272	-0.9	5,471	-4.0	8,869	0.1	4,136	-3.6	5,867	3.6	43,427	-2.2	119.8	0.1
March	7,335	2.9	5,701	3.1	8,859	-3.5	4,290	0.7	5,666	-1.3	44,405	1.7	119.7	1.3
February	7,130	-4.1	5,531	-5.9	9,180	-1.6	4,262	1.9	5,737	-2.3	43,658	-0.9	118.2	-0.5
January	7,437	4.9	5,877	6.4	9,329	8.9	4,183	14.4	5,870	13.2	44,047	-3.0	118.8	-0.1
2016
December	7,091	2.2	5,522	0.4	8,567	3.1	3,655	-8.3	5,184	-8.1	45,392	1.6	118.9	-0.7
November	6,941	-1.2	5,499	-2.7	8,308	-6.9	3,984	-5.2	5,643	-6.9	44,698	4.4	119.7	1.2
October	7,025	-2.3	5,650	-0.6	8,924	3.2	4,201	1.8	6,060	3.3	42,813	-1.8	118.3	0.8
September	7,190	1.7	5,686	3.8	8,644	-0.7	4,127	-1.4	5,865	3.3	43,614	0.4	117.4	0.5
August	7,073	-0.1	5,477	-1.8	8,707	-0.5	4,185	3.2	5,676	-5.9	43,438	0.1	116.8	-0.2
July	7,079	0.1	5,580	4.1	8,753	1.0	4,056	-1.3	6,030	9.9	43,385	1.4	117.0	0.6
June	7,075	2.3	5,358	-0.9	8,663	4.7	4,109	5.1	5,487	-0.4	42,770	0.8	116.3	-0.2
May	6,913	-6.3	5,408	-5.9	8,272	-0.7	3,911	0.8	5,511	-3.2	42,444	0.0	116.5	0.4
April	7,380	-0.8	5,749	4.6	8,330	5.8	3,881	3.1	5,693	-5.5	42,457	-1.0	116.0	-2.2
March	7,441	0.5	5,494	-6.2	7,873	-3.4	3,764	2.2	6,027	-4.7	42,874	0.8	118.6	-3.0
February	7,404	-9.0	5,855	-10.7	8,149	-2.3	3,683	-1.5	6,326	-3.0	42,524	1.0	122.3	-1.7
January	8,136	13.2	6,556	15.6	8,340	-12.2	3,739	-0.1	6,521	3.6	42,102	-0.8	124.4	2.7
2015
December	7,185	0.7	5,673	1.9	9,503	18.7	3,744	0.2	6,291	8.0	42,460	1.9	121.1	1.9
November	7,138	0.1	5,569	4.4	8,009	11.2	3,735	1.8	5,823	6.2	41,672	-0.7	118.9	1.1
October	7,128	-0.3	5,335	1.5	7,199	0.1	3,667	0.5	5,484	0.5	41,980	-0.3	117.6	-0.7
September	7,152	0.9	5,256	-7.5	7,190	-5.4	3,649	5.7	5,460	-3.8	42,116	0.3	118.4	0.8
August	7,085	5.8	5,679	6.2	7,599	-0.6	3,453	-5.3	5,676	9.8	41,985	-1.3	117.5	1.3
July	6,695	5.4	5,345	7.3	7,645	-0.9	3,648	-4.3	5,172	13.6	42,559	-0.4	116.0	2.5
June	6,352	-4.3	4,981	4.6	7,718	4.3	3,814	-3.5	4,554	-4.2	42,711	4.4	113.2	1.3
May	6,640	3.7	4,762	3.4	7,400	-3.4	3,952	2.6	4,752	2.2	40,897	6.2	111.8	-0.6
April	6,406	0.2	4,606	-4.7	7,658	13.2	3,852	7.9	4,650	0.0	38,493	0.1	112.5	-1.2
March	6,395	1.1	4,834	14.2	6,764	4.2	3,571	9.2	4,650	23.2	38,445	-8.1	113.9	0.4
February	6,324	-12.1	4,233	-10.9	6,491	1.3	3,270	-7.8	3,775	-14.8	41,817	-0.1	113.4	2.5
January	7,196	-5.0	4,749	-8.4	6,410	-21.7	3,546	-1.8	4,429	-0.6	41,864	1.9	110.6	3.6
.. not available for a specific reference period ... not applicable Source: Gross Domestic Product – (Table 36-10-0434-01) – Gross domestic product of Motor vehicle manufacturing [NAICS 3361], in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales of Motor vehicle manufacturing [NAICS 3361], in current dollars Wholesale Trade Sales – (Table 20-10-0074-01) – Wholesale trade sales of Motor vehicle merchant wholesalers [NAICS 4151], in current dollars Imports – (Table 12-10-0121-01) – Imports of Passenger cars and light trucks [NAPCS 411], in current dollars Exports – (Table 12-10-0001-01) – Exports of Passenger cars and light trucks [NAPCS 411], in current dollars Employment – (table 14-10-0201-01) – Employment in Motor vehicle manufacturing [NAICS 3361] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Passenger cars and light trucks [NAPCS 411]

The United States is considering implementing new tariffs on automobiles. Statistics Canada estimates that a $1 million reduction in automotive exports results in the loss of $0.39 million of value added and 2.99 jobs.

Economic Indicators on the Auto parts Industry
Table summary
This table displays the results of Economic Indicators on the Auto parts Industry Gross Domestic Product, Manufacturing Sales, Wholesale Trade Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 3363, NAICS 4152, NAPCS 413, Seasonally adjusted at annual rates, Seasonally adjusted and Not seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and Index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product		Manufacturing Sales		Wholesale Trade Sales		Imports		Exports		Employment		Industrial Product Prices
	NAICS 3363		NAICS 3363		NAICS 4152		NAPCS 413		NAPCS 413		NAICS 3363		NAPCS 413
	Seasonally adjusted at annual rates		Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted		Not seasonally adjusted
	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	Index, 2010=100	% change
2019
September	8,715	-5.1	2,606	-4.3	2,324	-0.1	3,839	0.1	1,738	-6.7	73,435	-3.0	113.8	-0.1
August	9,187	-0.2	2,722	-1.3	2,326	-1.5	3,834	0.2	1,864	-0.7	75,678	1.1	113.9	0.8
July	9,205	-1.3	2,758	0.0	2,362	0.9	3,827	-1.9	1,878	1.9	74,840	1.1	113.0	-1.1
June	9,328	3.0	2,757	1.4	2,341	1.0	3,902	-1.6	1,843	0.2	74,005	-1.9	114.2	-0.8
May	9,052	8.3	2,718	7.5	2,318	-0.5	3,966	9.0	1,839	1.8	75,435	2.3	115.1	0.3
April	8,360	-6.7	2,528	-3.9	2,330	2.1	3,640	-4.7	1,806	-0.2	73,709	-1.1	114.8	-0.1
March	8,965	0.7	2,630	-0.2	2,281	-1.5	3,819	4.8	1,810	-1.2	74,534	1.5	114.9	0.7
February	8,906	-0.6	2,635	0.4	2,316	3.5	3,645	-2.7	1,831	-0.8	73,423	-0.2	114.1	-0.3
January	8,962	3.1	2,625	3.4	2,237	10.2	3,748	-0.3	1,846	0.2	73,546	-2.6	114.5	-0.1
2018
December	8,694	-2.5	2,540	-3.0	2,030	-8.4	3,758	1.8	1,842	0.4	75,497	1.5	114.6	1.0
November	8,918	-5.5	2,619	-4.3	2,216	-3.0	3,690	-0.1	1,834	-1.9	74,416	-0.9	113.5	0.9
October	9,437	1.1	2,736	1.7	2,284	3.4	3,695	-1.4	1,869	-1.1	75,057	0.1	112.5	-0.1
September	9,331	5.3	2,690	1.7	2,209	0.2	3,747	9.1	1,889	0.8	74,984	-1.0	112.6	0.1
August	8,858	-4.1	2,646	-2.2	2,204	-3.2	3,435	-8.7	1,874	1.4	75,748	-1.9	112.5	0.0
July	9,233	3.6	2,706	3.6	2,278	5.2	3,761	-0.2	1,848	2.6	77,226	-0.1	112.5	0.5
June	8,915	0.0	2,611	2.8	2,165	0.5	3,771	2.3	1,801	3.0	77,311	0.2	111.9	1.2
May	8,914	-4.3	2,540	-3.7	2,154	2.7	3,685	-1.7	1,749	-2.1	77,172	2.9	110.6	0.6
April	9,313	1.6	2,638	-2.4	2,098	-0.6	3,748	-4.9	1,787	-5.0	74,972	-1.8	109.9	-0.9
March	9,169	-4.9	2,703	0.1	2,110	-0.9	3,942	2.2	1,882	6.6	76,365	0.4	110.9	1.8
February	9,644	9.0	2,701	10.1	2,130	-1.2	3,857	8.9	1,766	1.8	76,076	0.6	108.9	0.7
January	8,846	-4.2	2,454	-7.7	2,155	2.0	3,540	-8.0	1,734	0.6	75,607	-2.4	108.1	-1.6
2017
December	9,232	-2.2	2,659	-2.4	2,114	-5.6	3,849	2.7	1,725	-2.3	77,434	2.9	109.9	-0.2
November	9,436	8.9	2,724	12.6	2,240	6.7	3,748	20.4	1,765	3.5	75,281	1.5	110.1	0.8
October	8,665	-2.1	2,418	-2.4	2,099	-0.9	3,114	-14.3	1,705	2.8	74,171	1.6	109.2	1.4
September	8,850	2.5	2,477	-2.8	2,119	-0.6	3,635	-3.5	1,659	1.6	73,027	-0.4	107.7	-2.0
August	8,636	2.6	2,549	5.6	2,132	-1.0	3,767	7.3	1,633	-0.3	73,335	0.5	109.9	-0.1
July	8,415	-8.9	2,413	-11.5	2,153	0.1	3,511	-13.6	1,638	-2.7	72,941	-2.2	110.0	-2.4
June	9,240	-1.8	2,726	-1.3	2,151	2.2	4,062	-7.6	1,683	-7.3	74,583	1.7	112.7	-1.3
May	9,406	6.3	2,761	6.6	2,104	-2.3	4,396	7.2	1,816	3.5	73,336	2.5	114.2	0.7
April	8,845	-2.1	2,589	-0.3	2,154	1.0	4,099	4.5	1,755	3.2	71,560	-0.2	113.4	0.8
March	9,033	0.2	2,597	1.6	2,133	2.8	3,923	1.3	1,701	-1.8	71,695	-0.8	112.5	1.1
February	9,016	-3.8	2,557	-4.7	2,075	0.8	3,872	-1.5	1,731	-2.5	72,284	0.6	111.3	-0.2
January	9,370	1.0	2,683	-4.7	2,059	-3.8	3,931	-0.5	1,775	-1.0	71,861	-2.9	111.5	-0.8
2016
December	9,280	4.7	2,814	8.4	2,141	13.6	3,949	0.6	1,793	0.7	74,038	4.0	112.4	-0.6
November	8,867	-0.7	2,597	-2.5	1,884	-6.0	3,925	-1.0	1,781	-2.1	71,164	-0.2	113.1	0.8
October	8,932	-2.0	2,664	-1.8	2,003	3.3	3,966	1.1	1,819	0.0	71,314	1.2	112.2	1.0
September	9,114	-2.1	2,714	-0.6	1,939	-3.2	3,922	-1.8	1,820	-0.8	70,458	-1.7	111.1	0.5
August	9,313	5.2	2,730	4.1	2,004	0.9	3,996	3.6	1,835	1.8	71,650	2.0	110.6	0.1
July	8,852	-4.0	2,624	-2.4	1,986	-3.0	3,856	-0.3	1,803	3.9	70,271	-3.3	110.5	0.8
June	9,217	5.3	2,689	5.5	2,047	-1.2	3,866	1.3	1,736	1.2	72,641	2.7	109.6	-0.3
May	8,757	-4.9	2,548	-3.0	2,071	0.6	3,817	0.8	1,715	-1.6	70,714	-1.8	109.9	0.5
April	9,211	3.6	2,627	0.9	2,060	-3.2	3,786	-2.5	1,743	0.2	72,033	1.0	109.3	-2.0
March	8,891	-1.5	2,603	-5.1	2,127	-2.0	3,881	-6.2	1,739	-6.5	71,291	-0.4	111.5	-2.1
February	9,029	1.9	2,744	-3.4	2,171	-4.5	4,137	-6.3	1,860	-1.5	71,592	0.7	113.9	-1.8
January	8,861	-0.9	2,840	7.5	2,272	1.9	4,414	13.5	1,889	6.2	71,125	-3.4	116.0	1.8
2015
December	8,944	0.1	2,642	-1.2	2,229	-0.3	3,890	0.3	1,779	-2.9	73,639	2.2	114.0	1.1
November	8,939	1.3	2,674	3.0	2,235	0.5	3,880	1.5	1,832	0.2	72,026	-0.7	112.8	0.8
October	8,823	2.3	2,596	1.6	2,224	-4.7	3,823	1.3	1,829	-2.9	72,522	0.4	111.9	-0.9
September	8,628	-0.2	2,555	-1.1	2,335	1.6	3,774	-5.0	1,883	-1.3	72,230	-0.1	112.9	0.5
August	8,648	-2.6	2,582	-6.0	2,298	-0.7	3,972	5.3	1,908	-0.5	72,311	2.8	112.3	1.0
July	8,876	7.0	2,748	16.4	2,314	-0.6	3,772	10.4	1,918	-2.6	70,372	0.3	111.2	1.0
June	8,294	-1.7	2,360	-1.5	2,328	0.6	3,417	0.8	1,970	10.6	70,191	0.2	110.1	1.1
May	8,439	0.8	2,396	0.3	2,315	-0.7	3,390	2.1	1,781	2.1	70,032	1.3	108.9	-0.7
April	8,374	-1.2	2,390	0.9	2,331	1.5	3,321	-0.5	1,744	2.9	69,146	0.9	109.7	-1.8
March	8,478	3.0	2,368	3.9	2,296	-0.5	3,336	4.8	1,695	3.7	68,563	-1.6	111.7	0.7
February	8,232	-2.5	2,279	-2.5	2,308	2.7	3,184	-4.5	1,635	13.1	69,705	1.9	110.9	1.7
January	8,441	-1.0	2,336	-0.1	2,248	-2.1	3,336	-0.3	1,445	-13.6	68,412	-0.6	109.0	2.5
Source: Gross Domestic Product – (Table 36-10-0434-01) – Gross domestic product of Motor vehicle parts manufacturing [NAICS 3363], in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales of Motor vehicle parts manufacturing [NAICS 3363], in current dollars Wholesale Trade Sales – (Table 20-10-0074-01) – Wholesale trade sales of New motor vehicle parts and accessories merchant wholesalers [NAICS 4152], in current dollars Imports – (Table 12-10-0121-01) – Imports of Motor vehicle engines and motor vehicle parts [NAPCS 413], in current dollars Exports – (Table 12-10-0121-01) – Exports of Motor vehicle engines and motor vehicle parts [NAPCS 413], in current dollars Employment – (table 14-10-0201-01) – Employment in Motor vehicle parts manufacturing [NAICS 3363] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Motor vehicle engines and motor vehicle parts [NAPCS 413]

Imports of certain dairy products are controlled via a tariff rate quota system. Importers are allotted a quota to import specific products. When goods are imported within the quota, the tariff is zero or low. When imports exceed the quota, they are subject to higher tariff rates depending on the product.

Economic Indicators on the Dairy Industry
Table summary
This table displays the results of Economic Indicators on the Dairy Industry Gross Domestic Product, Manufacturing Sales, Imports, Exports, Employment, Industrial Product Prices, NAICS 3115, NAPCS 173, Seasonally adjusted at annual rates, Not Seasonally adjusted, Seasonally adjusted and Not seasonally adjusted, calculated using chained dollars (millions), % change, dollars (millions), number of employees and index, 2010=100 units of measure (appearing as column headers).

	Gross Domestic Product		Manufacturing Sales		Imports		Exports		Employment		Industrial Product Prices
	NAICS 3115		NAICS 3115		NAPCS 173		NAPCS 173		NAICS 3115		NAPCS 173
	Seasonally adjusted at annual rates		Not Seasonally adjusted		Seasonally adjusted		Seasonally adjusted		Not seasonally adjusted		Not seasonally adjusted
	chained dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	dollars (millions)	% change	number of employees	% change	index, 2010=100	% change
2019
September	3,115	0.2	1,225	-4.1	105	-2.9	40	-2.7	27,457	-6.2	113.2	-0.2
August	3,109	0.5	1,278	0.8	108	2.9	42	31.7	29,259	3.9	113.4	0.2
July	3,095	0.0	1,267	1.9	105	5.0	32	-12.0	28,166	2.7	113.2	-0.1
June	3,096	-0.4	1,244	1.0	100	-0.4	36	3.2	27,436	0.7	113.3	0.3
May	3,108	-1.1	1,231	-2.3	101	7.6	35	-0.9	27,233	1.4	113.0	0.0
April	3,141	-1.2	1,260	0.9	93	-2.9	35	8.7	26,868	1.3	113.0	1.1
March	3,178	0.2	1,248	16.6	96	5.0	32	-1.2	26,523	1.8	111.8	-0.2
February	3,171	2.0	1,070	-3.3	92	1.1	33	3.8	26,048	-1.4	112.0	-0.8
January	3,109	0.7	1,106	-4.0	91	-12.0	31	-2.2	26,426	6.7	112.9	1.3
2018
December	3,087	0.4	1,153	-6.0	103	3.6	32	-0.3	24,760	4.8	111.5	0.2
November	3,074	-3.2	1,227	-1.2	99	7.4	32	-3.3	23,633	-0.5	111.3	-0.4
October	3,175	3.7	1,242	-2.7	93	-4.1	33	-0.3	23,747	-1.3	111.7	0.9
September	3,061	2.1	1,276	-3.3	97	3.5	33	0.6	24,066	-1.1	110.7	1.1
August	2,999	-2.6	1,320	1.4	93	1.9	33	11.8	24,322	1.1	109.5	0.2
July	3,078	-1.1	1,302	7.0	92	-1.9	30	1.4	24,048	-12.7	109.3	-0.9
June	3,113	-0.2	1,217	-0.1	93	9.3	29	-12.8	27,554	12.6	110.3	-0.2
May	3,118	-2.0	1,217	-3.9	85	1.4	34	9.4	24,480	-4.9	110.5	-0.2
April	3,183	5.2	1,267	3.6	84	-4.2	31	-19.2	25,740	-0.4	110.7	0.0
March	3,027	-1.2	1,223	6.1	88	1.3	38	8.6	25,850	1.2	110.7	-0.1
February	3,063	-0.1	1,153	-0.4	87	2.8	35	8.7	25,533	-0.8	110.8	0.8
January	3,066	-2.0	1,158	-4.6	84	1.3	32	-9.8	25,739	6.9	109.9	-0.2
2017
December	3,129	0.5	1,213	-7.9	83	0.0	36	4.1	24,079	3.4	110.1	-0.1
November	3,112	0.9	1,317	4.9	83	-5.6	34	3.3	23,296	1.3	110.2	-0.1
October	3,085	-0.3	1,255	-2.7	88	3.6	33	-14.9	22,988	-1.7	110.3	0.1
September	3,093	-0.8	1,290	-3.3	85	0.0	39	-8.2	23,393	-4.8	110.2	0.1
August	3,118	-0.7	1,334	5.3	85	-3.6	43	15.2	24,570	4.4	110.1	-0.3
July	3,139	3.4	1,268	-1.6	88	-6.1	37	-13.8	23,536	1.1	110.4	0.3
June	3,037	-0.1	1,289	0.5	94	-5.6	43	12.0	23,284	-0.3	110.1	0.3
May	3,041	0.1	1,282	3.0	100	1.9	38	53.4	23,352	-0.9	109.8	-0.1
April	3,037	-1.1	1,245	-8.4	98	-7.3	25	-28.7	23,557	0.0	109.9	-0.1
March	3,071	1.4	1,360	12.1	105	16.6	35	3.9	23,557	2.0	110.0	0.0
February	3,030	2.4	1,213	-2.9	90	-13.2	34	3.1	23,094	3.6	110.0	0.5
January	2,960	3.1	1,249	-7.5	104	-4.4	33	18.1	22,302	-5.0	109.4	-0.1
2016
December	2,871	-0.7	1,351	1.3	109	-4.6	28	-6.8	23,470	1.8	109.5	0.0
November	2,891	1.3	1,333	-1.7	114	3.4	30	11.7	23,050	0.7	109.5	-0.1
October	2,853	0.3	1,356	5.7	110	19.0	27	8.2	22,901	-0.3	109.6	0.1
September	2,844	-0.3	1,283	-1.8	93	-0.4	25	8.4	22,979	-0.9	109.5	0.8
August	2,853	0.8	1,306	8.4	93	2.4	23	0.4	23,177	0.5	108.6	-0.1
July	2,830	-1.6	1,205	0.2	91	10.7	23	58.5	23,058	-1.8	108.7	0.3
June	2,877	-1.0	1,203	-4.2	82	-5.3	14	-26.0	23,477	4.2	108.4	0.4
May	2,905	-0.8	1,256	8.2	87	-11.6	19	4.3	22,525	2.7	108.0	0.0
April	2,927	-0.7	1,161	-1.7	98	14.1	18	10.2	21,934	-3.2	108.0	0.0
March	2,947	4.4	1,182	6.3	86	-12.3	17	-18.9	22,661	1.5	108.0	0.6
February	2,824	-3.1	1,111	6.9	98	-0.6	21	2.5	22,317	-1.2	107.4	0.8
January	2,914	3.3	1,040	-12.7	99	8.9	20	-11.8	22,581	-3.9	106.6	0.0
2015
December	2,820	0.2	1,191	1.3	91	-0.7	23	4.1	23,502	1.4	106.6	-0.1
November	2,813	0.9	1,175	-5.5	91	-3.2	22	-2.7	23,172	-0.2	106.7	0.2
October	2,789	-1.8	1,244	6.2	94	1.0	23	33.1	23,213	-2.1	106.5	0.0
September	2,841	0.4	1,171	0.8	93	6.5	17	9.7	23,711	-0.2	106.5	0.0
August	2,830	0.0	1,162	-0.8	88	5.5	15	-23.0	23,751	-4.1	106.5	-0.1
July	2,829	0.4	1,171	7.6	83	-1.7	20	3.6	24,756	4.4	106.6	0.1
June	2,818	-0.1	1,089	-3.9	85	2.9	19	8.4	23,706	0.6	106.5	-0.1
May	2,822	1.3	1,132	2.2	82	-6.2	18	-0.6	23,564	2.4	106.6	0.2
April	2,785	-2.6	1,108	-9.0	88	-6.2	18	-3.2	23,009	1.2	106.4	0.0
March	2,860	-0.7	1,218	17.0	93	4.2	19	16.4	22,746	5.0	106.4	0.3
February	2,881	0.7	1,041	-3.8	90	8.9	16	-9.1	21,673	-6.0	106.1	-0.1
January	2,860	-1.5	1,083	-12.1	82	2.6	18	-4.4	23,062	-1.3	106.2	-0.1
Source: Gross Domestic Product – (Table 36-10-0434-01) – Gross domestic product of Dairy product manufcaturing [3115], in chained dollars (2012) Manufacturing Sales – (Table 16-10-0047-01) – Manufacturing sales of Dairy product manufcaturing [3115], in current dollars Imports – (Table 12-10-0121-01) – Imports of Dairy product [173], in current dollars Exports – (Table 12-10-0121-01) – Dairy product [173], in current dollars Employment – (table 14-10-0201-01) – Employment in Dairy product manufcaturing [3115] Industrial Product Price Index – (Table 18-10-0030-01) – Industrial product prices of Dairy products [173]