Category: Data

Suffolk County experienced a fifth year of population loss in 2018, down 2,478 residents to 1,481,093, while Nassau continued to rise, up 679 to 1,358,343, according to the latest annual estimates from the Census Bureau. Here are details on the population shift for each county.

The overall population — Nassau is up and Suffolk is down

Click through on the right for these seven charts; select bars or data points for details.

Details in the table below, and you can read more about Long Island’s population trends here.

The details on these and other measures

Figures from the charts, with additional measures. Rates are per 1,000 residents.

Category/Year	Nassau County	Suffolk County
Population estimate 2011	1,346,176	1,498,838
Population estimate 2012	1,349,723	1,497,037
Population estimate 2013	1,352,399	1,497,489
Population estimate 2014	1,355,029	1,495,757
Population estimate 2015	1,355,319	1,492,278
Population estimate 2016	1,356,463	1,486,804
Population estimate 2017	1,357,664	1,483,571
Population estimate 2018	1,358,343	1,481,093
Net population change 2011	4,489	4,453
Net population change 2012	3,547	-1,801
Net population change 2013	2,676	452
Net population change 2014	2,630	-1,732
Net population change 2015	290	-3,479
Net population change 2016	1,144	-5,474
Net population change 2017	1,201	-3,233
Net population change 2018	679	-2,478
Births 2011	14,304	16,465
Births 2012	14,170	16,057
Births 2013	13,781	15,617
Births 2014	14,232	15,554
Births 2015	14,318	15,819
Births 2016	14,366	15,776
Births 2017	14,318	15,461
Births 2018	14,117	15,210
Deaths 2011	10,903	11,572
Deaths 2012	10,743	11,464
Deaths 2013	11,399	11,947
Deaths 2014	10,548	11,571
Deaths 2015	11,024	11,770
Deaths 2016	10,856	11,793
Deaths 2017	11,215	12,731
Deaths 2018	11,419	13,061
International migration 2011	3,087	3,487
International migration 2012	3,365	3,393
International migration 2013	3,001	2,863
International migration 2014	3,171	2,962
International migration 2015	3,221	2,961
International migration 2016	3,353	3,121
International migration 2017	2,497	2,327
International migration 2018	2,478	2,367
Domestic migration 2011	-1,890	-3,855
Domestic migration 2012	-3,143	-9,874
Domestic migration 2013	-2,609	-6,023
Domestic migration 2014	-4,136	-8,682
Domestic migration 2015	-6,181	-10,508
Domestic migration 2016	-5,701	-12,599
Domestic migration 2017	-4,366	-8,297
Domestic migration 2018	-4,476	-7,004
Net migration 2011	1,197	-368
Net migration 2012	222	-6,481
Net migration 2013	392	-3,160
Net migration 2014	-965	-5,720
Net migration 2015	-2,960	-7,547
Net migration 2016	-2,348	-9,478
Net migration 2017	-1,869	-5,970
Net migration 2018	-1,998	-4,637
Birth rate 2011	10.64339961	11.0015191
Birth rate 2012	10.51226326	10.71940585
Birth rate 2013	10.2001316	10.43036527
Birth rate 2014	10.51329897	10.39273084
Birth rate 2015	10.56543293	10.58822939
Birth rate 2016	10.59524696	10.59118212
Birth rate 2017	10.5507222	10.4101334
Birth rate 2018	10.39540767	10.26085924
Death rate 2011	8.112764676	7.732133556
Death rate 2012	7.969883145	7.653189803
Death rate 2013	8.43707279	7.979226095
Death rate 2014	7.791896959	7.731405972
Death rate 2015	8.134748748	7.878087104
Death rate 2016	8.006543299	7.917204025
Death rate 2017	8.264167447	8.571981652
Death rate 2018	8.408667577	8.811116538
International migration rate 2011	2.296992071	2.329929979
International migration rate 2012	2.496384323	2.265114533
International migration rate 2013	2.221217251	1.912155714
International migration rate 2014	2.342444564	1.979122331
International migration rate 2015	2.376816556	1.981904496
International migration rate 2016	2.472912646	2.09527633
International migration rate 2017	1.840002329	1.566805538
International migration rate 2018	1.824737565	1.596808272
Domestic migration rate 2011	-1.406321676	-2.575818775
Domestic migration rate 2012	-2.331689726	-6.591730296
Domestic migration rate 2013	-1.931074911	-4.022673371
Domestic migration rate 2014	-3.055298239	-5.80106012
Domestic migration rate 2015	-4.561037918	-7.033384816
Domestic migration rate 2016	-4.204615268	-8.458310312
Domestic migration rate 2017	-3.217240755	-5.586500021
Domestic migration rate 2018	-3.296015069	-4.724987385
Net migration rate 2011	0.890670395	-0.245888796
Net migration rate 2012	0.164694597	-4.326615763
Net migration rate 2013	0.29014234	-2.110517658
Net migration rate 2014	-0.712853675	-3.821937789
Net migration rate 2015	-2.184221362	-5.051480321
Net migration rate 2016	-1.731702622	-6.363033982
Net migration rate 2017	-1.377238427	-4.019694483
Net migration rate 2018	-1.471277504	-3.128179112

In 2018, printing a document or photo is as simple as hitting a button and the finished product arrives in seconds. But what happens when you add an extra dimension?

Over the last several years, 3D printing has exploded and you’ll find specialized machines at libraries, universities or even your local office supply store. Still, 3D printers haven’t matched the ubiquity of their 2D cousins and an ongoing debate over legalizing 3D printed guns is bringing the technology to a new audience.

Additive manufacturing — 3D printing by another name — was invented in the 1980s and today, there are a variety of different methods and classes of printers. With the right machinery, you can build an object with just about any material, from ceramic to copper to resin, though plastic is the most common, especially at the consumer level.

At the most basic level, it’s similar to regular printing, just imagine the machine pouring plastic in vertical layers instead of ink in horizontal lines.

“The whole idea of additive manufacturing is that you put things down a layer at a time,” said Edward Currie, associate professor of engineering at Hofstra University. “When you build a house, you put down the foundation and then you start putting up the bricks and the walls.”

Making a 3D model

Unlike a traditional 2D printer, 3D printers require special files known as blueprints that specify the dimensions for a 3D object.

A process called “slicing” follows the blueprint and divides 3D drawings into the layers that the printer will trace out.

“The technical knowledge side of it is coming up with the drawings. That’s where the real work is,” Currie said. “It’s like when you print a word document, you just hit print. What’s the hard part? It’s creating the document, same thing.”

There are three ways to get a computer assisted design file.

You can draw the object yourself, using CAD software to create a 3D digital model, or you can use someone else’s blueprints. You can also replicate an existing item by using a laser and scanning software to create a blueprint.

Waiting for results

To create the object, you just hit print. It’s as simple as it sounds. The rest of the work is for the printer to do, Currie said.

The printer works like an oversized glue gun, eating up spools of plastic filament.

“We start with material that’s pretty thick, and you pass it through a heated nozzle and you force it to come out,” Currie said. “Out the other side comes something thinner than a human hair.”

The printer’s computer sees the object as a series of points on a plane, according to Makerbot, one of the leading manufacturers of 3D printers.

The printer’s nozzle moves between these points, depositing plastic on a printer tray along the way.

The time required for printing depends on what the user is creating. A night vision goggle frame Currie designed took 56 hours.

The time required will depend on the size of the object, the desired quality of the finish and how solid it is — tighter infill patterns take longer than loose ones, a smoother finish takes longer than a rough one.

All done

The final result may be a solid object or parts that need to be put together.

The quality of printers varies significantly, which is an important consideration, Currie said.

3D printers are available for as little as a few hundred dollars and as much as hundreds of thousands. If exact dimensions are important to you — such as if you’re printing several objects that need to fit together like a puzzle — you’ll need a machine that’s much more expensive. Cheaper printers also can’t produce as smooth of a finish.

On Thursday, printers in Currie’s lab hummed for several hours, slowly building the latest version of wound closure clips. Once finished, magnets are attached.

The clips can be attached to either side of an open wound and the magnets will hold the wound together. A whole set can be used to close a wound more precisely than traditional stitches.

And if anything is not quite right with the clip, Currie just starts over. Traditionally, he’d have to request a new piece from the machine shop, which could take days or weeks. That’s the beauty of 3D printing, he said.

Deciding what to print

It’s a useful tool for creating prototypes and building models, Currie said. Jay Leno famously uses a 3D printer to replicate unavailable parts for restored cars so the parts can be custom manufactured.

In Currie’s lab, they’ve created dozens if not hundreds of versions of magnetic clips that can be used to help close open wounds, and other objects.

But uses are limited. Not every item is suited to be made from plastic — it’s fine for a robotic arm gear or a toy, but not practical for items that need to withstand high pressure or temperature. For example, experts said 3D printed plastic guns — which prosecutors say are illegal in New York state — are only durable enough for one or a few shots depending on the model, before they fall apart.

Read more about 3D printed guns here.

The overall unemployment rate for Long Island, not seasonally adjusted, was 5.1 percent in February 2018, up 0.3 percentage points from February 2017 according to the state’s Labor Department. Nassau’s rate increased 0.2 percentage points to 4.7 percent while Suffolk County’s rate also increased by 0.2 percentage points to 5.4 percent. By comparison, New York State’s rate was 5.1 percent and the national rate was 4.4 percent.

Freeport’s rate was down 0.3 percentage points, while Riverhead rose 0.7 percentage points. Click on the bar chart for details, or check on the tables below. You can read more here. Posted March 27, 2018.

Local jobless rates for February

Details on the monthly unemployment rates

The total, non-farm sector job count on Long Island fell 900 to more than 1.353 million in November 2017 compared with a year earlier, according to the state Labor Department. Leading the declines were the trade, transportation and utilities sector, which was down 4,400 jobs; professional and business services, which fell by 4,000, and manufacturing, which fell by 2,000. Making up for some of the loss was the private educational and health services sector, which increased 8,600, and leisure and hospitality, which rose by 2,600 compared with October 2016. Click on the trend lines below for details on the 10 sectors going back to 1990. To eliminate some of the lines, click on the sector name in the color key. The table below gives details for the 2017 and 2016 levels, and you can see more Long Island economic indicators or read about the job trends.

Jobs in the 10 sectors on Long Island

More detailed breakdown of 2017 vs. 2016

Industry            (job levels in thousands)	Nov. 2017	Nov. 2016	Change in year
TOTAL NONFARM	1,353.1	1,354.0	-0.1%
TOTAL PRIVATE	1,152.4	1,153.2	-0.1%
Total Goods Producing	146.8	148.6	-1.2%
Construction, Natural Resources, Mining	77.1	76.9	0.3%
Specialty Trade Contractors	56.7	54.5	4.0%
Manufacturing	69.7	71.7	-2.8%
Durable Goods	38.0	39.7	-4.3%
Non-Durable Goods	31.7	32.0	-0.9%
Total Service Providing	1,206.3	1,205.4	0.1%
Total Private Service-Providing	1,005.6	1,004.6	0.1%
Trade, Transportation, and Utilities	284.2	288.6	-1.5%
Wholesale Trade	71.6	73.0	-1.9%
Merchant Wholesalers, Durable Goods	34.5	34.6	-0.3%
Merchant Wholesalers, Nondurable Goods	27.2	27.2	0.0%
Retail Trade	166.6	170.7	-2.4%
Building Material and Garden Equipment	13.3	13.0	2.3%
Food and Beverage Stores	37.0	36.7	0.8%
Grocery Stores	30.4	30.3	0.3%
Health and Personal Care Stores	13.7	13.5	1.5%
Clothing and Clothing Accessories Stores	19.5	20.4	-4.4%
General Merchandise Stores	29.1	29.5	-1.4%
Department Stores	22.6	23.1	-2.2%
Transportation, Warehousing, and Utilities	46.0	44.9	2.4%
Utilities	4.8	4.8	0.0%
Transportation and Warehousing	41.2	40.1	2.7%
Couriers and Messengers	6.4	6.4	0.0%
Information	18.5	19.2	-3.6%
Broadcasting (except Internet)	1.0	1.0	0.0%
Telecommunications	8.6	8.6	0.0%
Financial Activities	70.5	71.7	-1.7%
Finance and Insurance	53.0	53.1	-0.2%
Credit Intermediation and Related Activities	20.2	20.3	-0.5%
Depository Credit Intermediation	11.4	11.5	-0.9%
Insurance Carriers and Related Activities	26.0	26.6	-2.3%
Real Estate and Rental and Leasing	17.5	18.6	-5.9%
Real Estate	13.9	14.1	-1.4%
Professional and Business Services	177.1	181.1	-2.2%
Professional, Scientific, and Technical Services	81.9	80.7	1.5%
Legal Services	17.3	18.8	-8.0%
Accounting, Tax Prep., Bookkpng., & Payroll Svcs.	14.7	14.0	5.0%
Management of Companies and Enterprises	16.4	16.2	1.2%
Admin. & Supp. and Waste Manage. & Remed. Svcs.	78.8	84.2	-6.4%
Education and Health Services	275.7	267.1	3.2%
Educational Services	44.5	43.4	2.5%
Health Care and Social Assistance	231.2	223.7	3.4%
Ambulatory Health Care Services	91.5	88.4	3.5%
Hospitals	66.8	64.3	3.9%
Nursing and Residential Care Facilities	35.4	34.1	3.8%
Social Assistance	37.5	36.9	1.6%
Leisure and Hospitality	120.3	117.7	2.2%
Arts, Entertainment, and Recreation	21.8	19.1	14.1%
Amusement, Gambling, and Recreation Industries	16.1	14.6	10.3%
Accommodation and Food Services	98.5	98.6	-0.1%
Food Services and Drinking Places	92.9	93.8	-1.0%
Other Services	59.3	59.2	0.2%
Personal and Laundry Services	23.8	23.2	2.6%
Government	200.7	200.8	0.0%
Federal Government	15.9	16.3	-2.5%
State Government	25.3	25.3	0.0%
State Government Education	14.2	13.6	4.4%
State Government Hospitals	1.3	1.4	-7.1%
Local Government	159.5	159.2	0.2%
Local Government Education	108.1	107.5	0.6%
Local Government Hospitals	2.9	2.9	0.0%

Nassau County ranks sixth in the nation and Suffolk is 15th in the percentage of home owners paying more than $10,000 in property taxes, according to Attom Data Solutions, a company that tracks real estate data. Roughly half the homes in Nassau and nearly a third of the homes in Suffolk surpass the $10,000 level for property taxes, one of the deductions being altered in the tax legislation before Congress.

Many of the counties that rank higher than Nassau or Suffolk have a smaller number of homes overall. Here’s how they break down.

Homes over or under the $10,000 property tax level

County, State	$0 – $10,000	Over $10,000	Percent over $10,000
Westchester, NY	45,294	125,190	73.4%
Luna, NM	4,861	10,691	68.7%
Rockland, NY	29,090	43,622	60.0%
Mathews, VA	2,233	2,665	54.4%
New York, NY	56,995	63,023	52.5%
NASSAU, NY	172,745	176,946	50.6%
Bergen, NJ	130,142	126,096	49.2%
Essex, NJ	79,401	74,540	48.4%
Union, NJ	73,499	57,260	43.8%
Morris, NJ	93,837	62,269	39.9%
Passaic, NJ	66,984	43,499	39.4%
Hunterdon, NJ	27,420	16,042	36.9%
Somerset, NJ	67,261	39,161	36.8%
Marin, CA	50,018	26,781	34.9%
SUFFOLK, NY	316,744	155,592	32.9%
Fairfield, CT	177,992	76,573	30.1%
Santa Clara, CA	300,693	121,186	28.7%
Lake, IL	157,476	61,163	28.0%
Monmouth, NJ	160,289	58,852	26.9%
Mercer, NJ	82,998	28,328	25.4%

State and local tax deductions on LI by income bracket

More than 250,000 Long Islanders making between $100,000 and $200,000 take deductions on their federal returns for state and local taxes, according to data provided by the IRS. The average deduction taken in that income bracket is $17,868 in Nassau County and $16,786 in Suffolk County. That income group is the largest taking such deductions, although filers in other income brackets also take advantage of the deductions. (You can read more about what the new tax system might mean for Long Island home owners.

Taxpayers in general

While the $100,000 to $200,000 bracket was the largest for taking state and local deductions, the largest group overall for taxpayers on Long Island are those making up to $25,000 a year. (Not included in these charts and tables is a small percentage of tax filers (9,640 in Nassau and 7,670 in Suffolk), who had adjusted gross incomes of less than $1 and paid no tax.)

Property tax deductions

Nearly matching the breakdown on those taking state and local tax deductions, the largest group on Long Island taking property tax deductions on their federal returns is the $100,000 to $200,000 bracket.

Mortgage interest deductions

Again, nearly matching the breakdown on those taking state and local tax deductions, the largest group on Long Island taking mortgage interest deductions is also the $100,000 to $200,000 bracket.

Details on what people earn or deduct, on average, in each bracket

The category of state and local taxes includes state and local income tax, sales tax and real estate, or property taxes, as well as some smaller categories of tax.

INCOME REPORTED	Nassau returns	Nassau average amount	Suffolk returns	Suffolk average amount
$1 up to $25,000	212,040	$11,479	246,610	$11,988
$25,000 under $50,000	124,030	$37,348	153,660	$37,075
$50,000 under $75,000	89,460	$62,671	100,650	$62,466
$75,000 under $100,000	66,900	$87,858	73,750	$87,800
$100,000 under $200,000	137,430	$141,746	141,070	$139,762
$200,000 or more	74,480	$585,426	53,410	$506,144
DEDUCTIONS TAKEN FOR:	Nassau returns	Nassau average amount	Suffolk returns	Suffolk average amount
All state and local tax
$1 up to $25,000	21,550	$8,092	23,510	$7,130
$25,000 under $50,000	39,620	$8,387	45,880	$7,769
$50,000 under $75,000	49,420	$10,105	55,360	$9,474
$75,000 under $100,000	49,870	$12,460	54,860	$11,749
$100,000 under $200,000	126,570	$17,868	128,920	$16,786
$200,000 or more	73,720	$63,987	52,810	$52,945
All income brackets	360,750	$23,856	361,340	$18,413
State/local income tax
$1 up to $25,000	7,270	$1,885	8,460	$1,449
$25,000 under $50,000	26,620	$1,975	31,180	$1,841
$50,000 under $75,000	39,620	$3,199	44,680	$3,025
$75,000 under $100,000	42,630	$4,557	46,720	$4,382
$100,000 under $200,000	116,650	$7,909	118,080	$7,616
$200,000 or more	72,010	$46,200	51,110	$38,623
All income brackets	304,800	$15,213	300,230	$10,934
State/local general sales tax
$1 up to $25,000	12,550	$614	13,180	$707
$25,000 under $50,000	11,950	$911	13,480	$1,181
$50,000 under $75,000	9,110	$1,172	9,930	$1,393
$75,000 under $100,000	6,710	$1,422	7,600	$1,601
$100,000 under $200,000	9,180	$1,859	10,130	$2,083
$200,000 or more	1,530	$2,940	1,560	$3,281
All income brackets	51,030	$1,183	55,880	$1,386
Real estate tax
$1 up to $25,000	16,650	$9,020	18,150	$7,840
$25,000 under $50,000	27,490	$9,514	33,540	$8,197
$50,000 under $75,000	36,630	$9,651	43,920	$8,369
$75,000 under $100,000	40,150	$10,203	47,090	$8,935
$100,000 under $200,000	112,350	$11,563	118,640	$10,322
$200,000 or more	69,530	$19,653	50,390	$16,028
All income brackets	302,800	$12,683	311,730	$10,387
Mortgage interest
$1 up to $25,000	8,900	$7,270	10,920	$7,260
$25,000 under $50,000	17,530	$7,810	23,730	$7,434
$50,000 under $75,000	25,870	$8,077	33,510	$7,598
$75,000 under $100,000	30,260	$8,722	37,810	$8,246
$100,000 under $200,000	91,550	$10,340	101,070	$9,811
$200,000 or more	55,410	$15,168	41,960	$14,077
All income brackets	229,520	$10,725	249,000	$9,656

IRS data is for the 2015 tax year, the latest available. Attom data is for current year. JavaScript charts via amCharts.

Eight of the 10 Long Island affiliated companies that received $50,000 each from the Accelerate Long Island Seed Fund, matched by the the Long Island Emerging Technology Fund, went on to receive an additional $23.7 million in investment in recent years, although not evenly, according to data compiled by Newsday reporter James T. Madore.

Codagenix Inc. of Farmingdale, a vaccine maker, received the most additional money, $11.6 million, while one company received less than $250,000. You can read more about the investments here.

Investments in 10 new companies with ties to Long Island

Details on the companies

The institutions affiliated with these companies are Stony Brook University (SBU), Cold Spring Harbor Lab (CSHL), Northwell Health and Brookhaven National Lab (BNL). Additional investments are as of 12/1/2017. This data posted on Dec. 15, 2017.

Company name (location)	What they do (Institution affiliation)	Founded	Time of ALI/LIETF investment	Investment by ALI and LIETF	Additional investments	Jobs at time of ALI/LIETF investment	Jobs as of 12/1/17
Codagenix Inc. (Farmingdale)	Vaccines (SBU)	2012	2014	$100,000	$11,600,000	2	8
DepYmed (Farmingdale)	Drugs (CSHL/Northwell)	2014	2015	$100,000	$2,037,000	1	1
Envisagenics Inc. (Manhattan)	Software for drug development (CSHL)	2014	2015	$100,000	$3,442,000	2	8
Goddard Labs Inc. (Manhattan)	Food testing/consulting and research services (SBU)	2011	2014	$100,000	$0	1	1
PolyNova CardioVascular Inc. (Stony Brook)	Prosthetic heart value (SBU)	2012	2014	$100,000	$245,000	1	0
Scannerside/Right Dose Inc. (Port Washington)	Software for monitoring radiation dosages (SBU)	2011	2015	$100,000	$0	1	3
Green Sulfcrete LLC (Melville)	Concrete made from recycled sulfur (BNL)	2012	2014	$100,000	$1,833,000	3	3
Symbiotic Health Inc. (Roslyn Heights)	Drugs (Northwell)	2013	2015	$100,000	$850,000	2	2
SynchroPET Inc. (Stony Brook)	Scanners (BNL)	2011	2014	$100,000	$1,160,000	1	8
Traverse Biosciences Inc. (Stony Brook)	Drugs (SBU)	2013	2014	$100,000	$2,525,000	1	1

Census data indicate that fewer Long Islanders are speaking English at home, or speaking it well, that some ancestry groups are declining, and that it’s taking everyone on Long Island and in the greater New York area longer on average to commute to and from work.

Those are among the findings about life on Long Island from one-year and five-year data from the American Community Survey compared to the previous periods. After checking the charts below you can read about Long Island’s Census data.

Smaller percentages for top three European ancestry groups

Residents who reported ancestry from Italy, Ireland and German have long had the highest percentages on Long Island, but all three saw smaller numbers in the 2012-2016 Census data.

And the daily commute gets longer

One-year data from the American Community Survey shows that the commute to and from work has been taking consistently longer for Long Islanders and for people throughout the New York area. Nationally the average is 26.1 minutes. The times charted here have a margin of error of 0.1 or 0.2 of a minute. In the chart on the right are the commuting methods most often claimed for 2012-16: driving alone, public transportation or carpooling. These statistics have a margin of error of 0.2 to 0.4 percentage points.

JavaScript charts via amCharts.

A boom in bay scallops this season, which began Nov. 6, is boosting the East End’s shellfishing industry, participants say. This follows strong harvests in recent years for bay scallops and oysters, especially 2014. Here are annual harvest data for oysters and bay scallops for all New York, which primarily involves Long Island waters, from 2008 to 2016. And you can read more about the shellfish trend here.

Details on the bay scallop and oyster harvests

Year	Oyster bushels	Oyster value	Pounds of bay scallops	Value of bay scallops
2008	42,978	$2,870,069	9,942	$154,235
2009	20,400	$1,428,015	18,675	$270,784
2010	25,574	$2,046,527	40,396	$585,744
2011	31,051	$2,173,601	28,932	$419,509
2012	44,494	$3,114,657	34,011	$492,682
2013	68,773	$4,401,569	29,051	$421,237
2014	133,663	$9,356,407	100,066	$1,450,954
2015	71,947	$5,755,719	65,378	$947,980
2016	48,944	$3,915,370	30,575	$443,336

Data provided by the New York State Department of Conservation. The oyster figures include a category grown for seed, in addition to those harvested for consumption. JavaScript charts powered by amCharts.

The overall unemployment rate on Long Island for October 2017 was 4.1 percent, matching the rate from October 2016, according to data from the state’s Department of Labor. Valley Stream saw the largest increase in Nassau County, rising to 4.6 from the 4.3 rate in October 2016. Riverhead during that period rose to 4.3 from 4.1.

Freeport had the highest rate on the Island, 4.8 percent, which was down 0.1 percentage points from last year. New York City had a rate of 4.9 percent while the state had a rate of 4.6 percent, according to the labor department. Click on the bar chart for details, or check on the tables below. And you can read more here.

Local jobless rates for October

Details on the monthly unemployment rates

October 2017	Labor Force	Employed	Unemployed	Rate (%)
Nassau-Suffolk	1,484,200	1,423,000	61,200	4.1
Nassau County	703,500	675,200	28,300	4.0
Freeport Village	22,800	21,700	1,100	4.8
Glen Cove City	14,100	13,600	500	3.5
Hempstead Town	401,100	384,200	16,900	4.2
Hempstead Village	27,500	26,200	1,300	4.7
Long Beach City	19,700	18,900	700	3.7
North Hempstead Town	113,300	109,100	4,100	3.7
Oyster Bay Town	155,400	149,400	6,100	3.9
Rockville Centre Village	12,200	11,700	500	4.2
Valley Stream Village	19,800	18,900	900	4.6
Suffolk County	780,700	747,800	32,900	4.2
Babylon Town	112,200	107,100	5,100	4.5
Brookhaven Town	255,200	244,300	10,900	4.3
Huntington Town	104,900	100,800	4,100	3.9
Islip Town	179,500	171,900	7,600	4.2
Lindenhurst Village	15,400	14,700	700	4.3
Riverhead Town	16,100	15,400	700	4.3
Smithtown Town	60,300	58,000	2,400	3.9
Southampton Town	29,000	27,900	1,100	3.8
New York City	4,251,500	4,043,200	208,300	4.9
New York State	9,712,100	9,262,900	449,200	4.6
September 2017	Labor Force	Employed	Unemployed	Rate (%)
Nassau-Suffolk	1,493,400	1,430,500	63,000	4.2
Nassau County	708,100	678,700	29,400	4.1
Freeport Village	22,800	21,800	1,100	4.6
Glen Cove City	14,200	13,600	500	3.8
Hempstead Town	403,600	386,200	17,400	4.3
Hempstead Village	27,700	26,400	1,400	4.9
Long Beach City	19,800	19,000	800	3.9
North Hempstead Town	114,100	109,700	4,400	3.9
Oyster Bay Town	156,400	150,100	6,200	4.0
Rockville Centre Village	12,200	11,700	500	4.2
Valley Stream Village	19,900	19,000	900	4.6
Suffolk County	785,400	751,700	33,600	4.3
Babylon Town	113,100	107,700	5,400	4.7
Brookhaven Town	256,700	245,600	11,100	4.3
Huntington Town	105,600	101,300	4,300	4.0
Islip Town	180,600	172,800	7,800	4.3
Lindenhurst Village	15,500	14,800	700	4.6
Riverhead Town	16,200	15,400	700	4.4
Smithtown Town	60,700	58,300	2,500	4.0
Southampton Town	29,100	28,000	1,100	3.8
New York City	4,258,100	4,045,300	212,700	5.0
New York State	9,738,500	9,277,500	461,000	4.7
October 2016	Labor Force	Employed	Unemployed	Rate (%)
Nassau-Suffolk	1,467,100	1,407,500	59,700	4.1
Nassau County	695,200	667,800	27,300	3.9
Freeport Village	22,500	21,400	1,100	4.9
Glen Cove City	13,900	13,400	500	3.6
Hempstead Town	396,300	380,000	16,300	4.1
Hempstead Village	27,200	25,900	1,300	4.8
Long Beach City	19,500	18,700	800	3.9
North Hempstead Town	112,100	108,000	4,100	3.7
Oyster Bay Town	153,400	147,700	5,700	3.7
Rockville Centre Village	12,000	11,500	500	4.0
Valley Stream Village	19,500	18,700	800	4.3
Suffolk County	772,000	739,600	32,300	4.2
Babylon Town	111,100	106,000	5,200	4.6
Brookhaven Town	252,400	241,600	10,800	4.3
Huntington Town	103,600	99,700	3,900	3.8
Islip Town	177,400	170,000	7,400	4.2
Lindenhurst Village	15,200	14,600	700	4.3
Riverhead Town	15,900	15,200	700	4.1
Smithtown Town	59,600	57,300	2,300	3.8
Southampton Town	28,700	27,600	1,100	4.0
New York City	4,138,400	3,921,200	217,200	5.2
New York State	9,548,000	9,092,900	455,100	4.8

The total, non-farm sector job count on Long Island rose by 4,200 to more than 1.35 million in October 2017 compared with a year earlier, according to the state’s Labor Department. Leading the increases were the private educational and health services sector, which rose by 9,900, and leisure and hospitality, which rose by 1,500 compared with October 2016. The professional and business-services sector lost the most jobs, down 3,000, while manufacturing lost 2,300 jobs. Click on the trend lines below for details on the 10 sectors going back to 1990. To eliminate some of the lines, click on the sector name in the color key. The table below gives details for the 2017 and 2016 levels, and you can read more about the employment trends here.

Jobs in the 10 sectors on Long Island

More detailed breakdown of 2017 vs. 2016

Industry            (job levels in thousands)	Oct. 2017	Oct. 2016	Pct Year
TOTAL NONFARM	1,351.0	1,346.8	0.3%
TOTAL PRIVATE	1,151.4	1,147.3	0.4%
Total Goods Producing	148.0	150.5	-1.7%
Construction, Natural Resources, Mining	77.9	78.1	-0.3%
Specialty Trade Contractors	56.7	54.6	3.8%
Manufacturing	70.1	72.4	-3.2%
Durable Goods	38.3	40.3	-5.0%
Non-Durable Goods	31.8	32.1	-0.9%
Total Service Providing	1,203.0	1,196.3	0.6%
Total Private Service-Providing	1,003.4	996.8	0.7%
Trade, Transportation, and Utilities	276.9	279.7	-1.0%
Wholesale Trade	71.0	71.5	-0.7%
Merchant Wholesalers, Durable Goods	34.1	34.4	-0.9%
Merchant Wholesalers, Nondurable Goods	27.2	27.1	0.4%
Retail Trade	160.2	165.0	-2.9%
Building Material and Garden Equipment	13.0	13.0	0.0%
Food and Beverage Stores	36.7	36.6	0.3%
Grocery Stores	30.2	30.3	-0.3%
Health and Personal Care Stores	13.4	13.3	0.8%
Clothing and Clothing Accessories Stores	18.0	19.2	-6.3%
General Merchandise Stores	27.4	26.9	1.9%
Department Stores	20.8	20.8	0.0%
Transportation, Warehousing, and Utilities	45.7	43.2	5.8%
Utilities	4.8	4.8	0.0%
Transportation and Warehousing	40.9	38.4	6.5%
Couriers and Messengers	5.5	5.6	-1.8%
Information	18.9	19.3	-2.1%
Broadcasting (except Internet)	1.0	1.0	0.0%
Telecommunications	8.8	8.7	1.1%
Financial Activities	71.9	71.2	1.0%
Finance and Insurance	53.9	52.6	2.5%
Credit Intermediation and Related Activities	20.6	20.4	1.0%
Depository Credit Intermediation	11.7	11.6	0.9%
Insurance Carriers and Related Activities	26.1	26.7	-2.2%
Real Estate and Rental and Leasing	18.0	18.6	-3.2%
Real Estate	14.3	14.1	1.4%
Professional and Business Services	176.5	179.5	-1.7%
Professional, Scientific, and Technical Services	82.3	81.1	1.5%
Legal Services	17.5	18.5	-5.4%
Accounting, Tax Prep., Bookkpng., & Payroll Svcs.	14.3	13.8	3.6%
Management of Companies and Enterprises	16.4	16.3	0.6%
Admin. & Supp. and Waste Manage. & Remed. Svcs.	77.8	82.1	-5.2%
Education and Health Services	274.9	265.0	3.7%
Educational Services	43.8	42.8	2.3%
Health Care and Social Assistance	231.1	222.2	4.0%
Ambulatory Health Care Services	91.3	87.6	4.2%
Hospitals	66.9	64.3	4.0%
Nursing and Residential Care Facilities	35.4	33.8	4.7%
Social Assistance	37.5	36.5	2.7%
Leisure and Hospitality	124.8	123.3	1.2%
Arts, Entertainment, and Recreation	24.9	22.4	11.2%
Amusement, Gambling, and Recreation Industries	18.6	17.0	9.4%
Accommodation and Food Services	99.9	100.9	-1.0%
Food Services and Drinking Places	94.1	95.8	-1.8%
Other Services	59.5	58.8	1.2%
Personal and Laundry Services	24.0	23.3	3.0%
Government	199.6	199.5	0.1%
Federal Government	15.9	16.2	-1.9%
State Government	25.5	25.4	0.4%
State Government Education	14.1	13.6	3.7%
State Government Hospitals	1.3	1.4	-7.1%
Local Government	158.2	157.9	0.2%
Local Government Education	106.4	105.6	0.8%
Local Government Hospitals	2.9	2.9	0.0%