Erie County, NY [36029] Demographic Characteristics & Trends
  -- a component of the Buffalo-Cheektowaga-Niagara Falls, NY metropolitan area [15380] -- click link to view metro S&O report

This document brings together several 2017 vintage population estimates developed by the Census Bureau for this area developed and released separately in 2018. These official model-based estimates are developed and updated annually. The data presesentation here provides more comprehensive insights into demographic characteristics and trends for this area than available elsewhere. ProximityOne uses these data to develop Situation & Outlook (S&O) estimates and projections to 2060. See related table. Join us in weekly Data Analytics Lab web sessions to discuss organization and use of these and related data. The S&O Trends Analysis package used to develop these tables is available to present/analyze these data with wide-ranging additional detail and alternative data formats.   • Bookmark this page -- http://proximityone.com/trends/cty1706037.htm; share with others.   • View profile for other counties -- http://proximityone.com/countytrends2017.htm; use link in table.

Table 1. Population & Components of Change -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	919,224	920,312	920,935	922,758	924,449	924,122	923,116	925,528	6,304
Births	...	9,774	9,817	10,023	10,021	10,340	9,995	10,080	10,007
Deaths	...	9,747	9,381	9,842	9,684	10,017	9,667	9,638	9,711
Natural Increase	...	27	436	181	337	323	328	442	296
Net Migration	...	1,167	271	1,747	1,477	-601	-1,329	2,000	676
International	...	2,834	3,091	3,296	3,534	3,736	3,794	3,769	3,436
Domestic	...	-1,667	-2,820	-1,549	-2,057	-4,337	-5,123	-1,769	-2,760

Table 2. Population by Gender & Group Quarters Population -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	919,224	920,312	920,935	922,758	924,449	924,122	923,116	925,528	6,304
Male	443,116	444,152	444,986	446,245	447,153	446,965	446,757	447,967	4,851
Female	476,108	476,160	475,949	476,513	477,296	477,157	476,359	477,561	1,453
Group Quarters	...	28,557	28,515	28,201	28,447	28,406	28,281	28,280	-36

Table 3. Population by Race/Origin -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	919,224	920,312	920,935	922,758	924,449	924,122	923,116	925,528	6,304
White alone	746,651	745,591	744,249	743,203	741,824	739,022	736,142	735,282	-11,369
Black alone	126,775	127,139	127,213	127,975	128,346	128,597	128,444	129,151	2,376
AIAN alone	6,369	6,392	6,464	6,517	6,596	6,649	6,728	6,776	407
Asian alone	24,419	25,641	26,931	28,390	30,354	32,006	33,497	35,442	11,023
NHOPI alone	331	343	360	382	403	425	443	436	105
Two+ Races	14,679	15,206	15,718	16,291	16,926	17,423	17,862	18,441	3,762
Hispanic (any race)	41,966	43,046	44,391	45,723	46,845	48,076	49,221	50,643	8,677

Table 4. Population by Age by Race/Origin -- 2017

Population	Total	White alone	Black alone	AIAN alone	Asian alone	NHOPI alone	Two+ Races	Hispanic (any race)
Total	925,528	735,282	129,151	6,776	35,442	436	18,441	50,643
Age 0-4	50,972	35,548	9,719	494	2,379	60	2,772	4,932
Age 5-9	50,588	35,309	9,534	529	2,471	50	2,695	5,045
Age 10-14	52,742	37,869	9,450	485	2,509	27	2,402	4,814
Age 15-19	59,044	42,735	10,247	516	3,362	31	2,153	4,848
Age 20-24	62,301	44,216	11,144	551	4,495	29	1,866	4,848
Age 25-29	69,663	52,327	11,524	541	3,694	31	1,546	4,529
Age 30-34	62,152	48,700	8,710	486	3,213	45	998	3,965
Age 35-39	53,969	42,287	7,598	442	2,763	32	847	3,461
Age 40-44	47,995	37,754	6,889	341	2,274	29	708	2,815
Age 45-49	57,717	47,245	7,277	462	2,110	20	603	2,460
Age 50-54	63,545	53,586	7,409	454	1,587	27	482	2,233
Age 55-59	69,272	59,047	8,087	449	1,240	22	427	2,069
Age 60-64	63,647	55,000	7,014	333	945	15	340	1,543
Age 65-69	51,468	45,140	5,000	245	845	3	235	1,140
Age 70-74	38,651	34,350	3,324	175	633	6	163	738
Age 75-79	27,045	23,887	2,504	134	420	4	96	487
Age 80-84	20,208	17,871	1,909	81	295	1	51	322
Age 85 up	24,549	22,411	1,812	58	207	4	57	394

Table 5. Population by Single Year of Age -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	9,872	9,718	9,769	9,964	9,977	10,275	9,963	10,044	172
Age 0101	9,498	9,990	9,735	9,793	10,165	10,060	10,222	10,007	509
Age 0202	9,881	9,576	10,026	9,836	9,872	10,225	10,116	10,344	463
Age 0303	10,080	9,934	9,638	10,139	9,917	9,905	10,269	10,192	112
Age 0404	9,837	10,127	10,026	9,811	10,211	9,968	9,970	10,385	548
Age 0505	10,060	9,875	10,158	10,076	9,864	10,236	10,007	10,053	-7
Age 0606	10,479	10,156	9,933	10,217	10,143	9,920	10,236	10,097	-382
Age 0707	10,743	10,522	10,225	10,008	10,272	10,187	9,942	10,267	-476
Age 0808	10,857	10,776	10,511	10,251	10,084	10,274	10,191	9,971	-886
Age 0909	11,184	10,820	10,832	10,588	10,267	10,098	10,256	10,200	-984
Age 1010	11,522	11,169	10,856	10,862	10,639	10,328	10,107	10,323	-1,199
Age 1111	11,345	11,608	11,261	10,956	10,939	10,680	10,311	10,198	-1,147
Age 1212	11,478	11,435	11,681	11,304	11,018	10,928	10,686	10,411	-1,067
Age 1313	11,524	11,514	11,467	11,736	11,363	11,052	10,941	10,783	-741
Age 1414	11,960	11,585	11,553	11,527	11,811	11,403	11,073	11,027	-933
Age 1515	12,390	11,985	11,615	11,612	11,539	11,824	11,412	11,132	-1,258
Age 1616	12,617	12,419	12,033	11,651	11,672	11,578	11,790	11,414	-1,203
Age 1717	12,988	12,677	12,444	12,119	11,756	11,772	11,653	11,873	-1,115
Age 1818	13,809	13,862	13,599	13,410	13,026	12,748	12,702	12,597	-1,212
Age 1919	13,949	13,173	13,069	12,848	12,673	12,300	12,059	12,028	-1,921
Age 2020	14,416	13,692	12,798	12,764	12,532	12,288	12,021	11,771	-2,645
Age 2121	14,180	14,545	13,668	12,824	12,832	12,418	12,272	12,074	-2,106
Age 2222	13,759	14,377	14,687	13,802	12,867	12,900	12,482	12,418	-1,341
Age 2323	13,495	14,144	14,657	15,049	14,154	13,073	13,065	12,835	-660
Age 2424	13,186	13,629	14,143	14,736	15,064	14,141	13,141	13,203	17
Age 2525	12,941	13,218	13,696	14,188	14,587	14,993	14,099	13,254	313
Age 2626	11,958	12,962	13,124	13,686	14,002	14,280	14,785	14,102	2,144
Age 2727	11,521	12,003	13,023	13,106	13,619	13,868	14,095	14,703	3,182
Age 2828	11,228	11,458	11,835	12,979	13,008	13,425	13,711	13,933	2,705
Age 2929	11,047	11,190	11,450	11,808	12,928	12,912	13,336	13,671	2,624
Age 3030	11,176	11,015	11,238	11,521	11,787	12,910	12,939	13,222	2,046
Age 3131	10,241	11,113	10,994	11,213	11,545	11,717	12,750	12,891	2,650
Age 3232	9,959	10,275	11,148	11,084	11,285	11,568	11,772	12,792	2,833
Age 3333	9,561	9,973	10,235	11,156	11,115	11,281	11,493	11,761	2,200
Age 3434	9,266	9,581	9,936	10,227	11,230	11,073	11,170	11,486	2,220
Age 3535	9,731	9,268	9,524	9,977	10,254	11,230	11,013	11,270	1,539
Age 3636	9,347	9,783	9,315	9,638	10,032	10,305	11,227	11,119	1,772
Age 3737	9,740	9,381	9,833	9,330	9,676	10,091	10,289	11,281	1,541
Age 3838	10,426	9,677	9,416	9,809	9,370	9,663	10,043	10,239	-187
Age 3939	11,676	10,449	9,720	9,442	9,849	9,350	9,684	10,060	-1,616
Age 4040	12,235	11,656	10,464	9,712	9,413	9,849	9,321	9,692	-2,543
Age 4141	11,829	12,234	11,669	10,468	9,700	9,410	9,813	9,308	-2,521
Age 4242	11,943	11,886	12,259	11,707	10,416	9,695	9,426	9,883	-2,060
Age 4343	12,256	11,912	11,855	12,301	11,719	10,431	9,654	9,428	-2,828
Age 4444	12,564	12,247	11,871	11,855	12,312	11,680	10,413	9,684	-2,880
Age 4545	13,269	12,587	12,261	11,924	11,901	12,306	11,682	10,454	-2,815
Age 4646	13,415	13,199	12,497	12,180	11,849	11,779	12,158	11,641	-1,774
Age 4747	13,743	13,341	13,155	12,434	12,134	11,789	11,722	12,122	-1,621
Age 4848	13,801	13,694	13,321	13,170	12,498	12,125	11,746	11,774	-2,027
Age 4949	14,342	13,790	13,632	13,325	13,138	12,441	12,052	11,726	-2,616
Age 5050	14,706	14,241	13,643	13,495	13,263	13,047	12,346	11,940	-2,766
Age 5151	14,706	14,724	14,223	13,656	13,469	13,243	13,047	12,337	-2,369
Age 5252	14,895	14,641	14,589	14,111	13,605	13,418	13,180	13,022	-1,873
Age 5353	14,539	14,774	14,514	14,490	13,968	13,461	13,266	13,036	-1,503
Age 5454	14,026	14,446	14,687	14,413	14,475	13,889	13,367	13,210	-816
Age 5555	14,092	13,961	14,367	14,645	14,368	14,423	13,801	13,329	-763
Age 5656	13,124	13,975	13,824	14,203	14,474	14,239	14,276	13,726	602
Age 5757	12,650	13,002	13,813	13,705	14,101	14,376	14,085	14,149	1,499
Age 5858	12,230	12,527	12,923	13,726	13,581	13,980	14,209	13,974	1,744
Age 5959	11,897	12,067	12,397	12,783	13,606	13,406	13,851	14,094	2,197
Age 6060	11,473	11,757	11,966	12,317	12,711	13,494	13,272	13,698	2,225
Age 6161	11,203	11,323	11,614	11,797	12,164	12,539	13,255	13,115	1,912
Age 6262	10,920	11,029	11,135	11,451	11,615	11,964	12,354	13,044	2,124
Age 6363	11,543	10,708	10,856	10,940	11,250	11,406	11,821	12,153	610
Age 6464	8,410	11,297	10,540	10,693	10,746	11,107	11,189	11,637	3,227
Age 6565	8,156	8,242	11,123	10,363	10,507	10,517	10,917	11,017	2,861
Age 6666	8,194	7,991	8,128	10,943	10,197	10,323	10,348	10,776	2,582
Age 6767	8,788	8,001	7,816	7,945	10,732	9,998	10,119	10,138	1,350
Age 6868	7,740	8,650	7,860	7,666	7,798	10,535	9,812	9,948	2,208
Age 6969	6,843	7,554	8,435	7,708	7,478	7,596	10,271	9,589	2,746
Age 7070	6,431	6,668	7,388	8,232	7,514	7,294	7,429	10,038	3,607
Age 7171	6,290	6,272	6,525	7,208	8,060	7,364	7,131	7,262	972
Age 7272	6,057	6,120	6,106	6,384	7,035	7,862	7,152	6,950	893
Age 7373	5,832	5,906	5,944	5,931	6,239	6,864	7,666	6,953	1,121
Age 7474	5,807	5,630	5,727	5,754	5,767	6,054	6,679	7,448	1,641
Age 7575	5,856	5,583	5,417	5,516	5,560	5,543	5,841	6,442	586
Age 7676	5,395	5,654	5,387	5,222	5,333	5,374	5,376	5,681	286
Age 7777	5,237	5,188	5,458	5,159	4,991	5,147	5,219	5,198	-39
Age 7878	5,208	5,002	4,969	5,192	4,909	4,734	4,910	4,990	-218
Age 7979	5,166	5,000	4,785	4,765	5,014	4,721	4,553	4,734	-432
Age 8080	5,201	4,891	4,765	4,564	4,560	4,758	4,497	4,360	-841
Age 8181	4,988	4,890	4,625	4,488	4,329	4,308	4,484	4,263	-725
Age 8282	4,802	4,680	4,613	4,301	4,249	4,055	4,083	4,230	-572
Age 8383	4,572	4,460	4,313	4,273	4,015	3,937	3,782	3,814	-758
Age 8484	4,169	4,248	4,140	4,008	3,996	3,702	3,663	3,541	-628
Age 8585	23,754	24,010	24,465	24,588	24,746	24,692	24,585	24,549	795
Age 0517	149,147	146,541	144,569	142,907	141,367	140,280	138,605	137,749	-11,398