Pollen count and allergy info for Pittsburgh
Pittsburgh pollen and allergy report • 08:00, Apr 24 Local time
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Pittsburgh pollen count forecast
Today 15 km/h25°14° 61% | Saturday 21 km/h21°12° 80% | Sunday 13 km/h16°11° 62% |
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How does the pollen count in Pittsburgh compare between different times of the day?
Pittsburgh sees notable shifts in pollen count throughout the 24-hour cycle. The early morning hours, particularly from 5 AM to 10 AM, serve as a critical time frame. During this period, most plants are actively releasing pollen, contributing to a substantial increase in the overall pollen count. The rise in count during these hours is due to the biological rhythms of the plants and the favourable atmospheric conditions that support pollen dispersal.
As midday approaches, there are several factors contributing to a decrease in the pollen count. One primary reason is the higher temperatures. Plants typically limit their pollen release during the hottest part of the day to conserve water and energy. Additionally, the increased turbulence caused by the heat can lead to pollen grains settling down, further lowering airborne pollen concentrations. Hence, by mid-afternoon, one might notice a tangible drop in the count.
Yet, as the day transitions to evening, particularly around the dusk hours, another shift occurs. There's a resurgence, albeit smaller than the morning peak. This late-day increase might not be as pronounced as the morning surge, but it's significant enough to be noticeable, especially for those with pollen sensitivities. The conditions of the environment play a role here. If the evening is characterised by dry and windy weather, pollen grains find it easier to become airborne and spread.
Another aspect to consider is the type of pollen in the environment. Different plants have distinct patterns and timings for pollen release. Some might be more active during the early hours, while others might favour the late afternoon or evening. The specific plants that dominate the landscape of a particular area in Pittsburgh will significantly influence the timing and magnitude of pollen count changes.
Weather conditions also wield a strong influence on pollen dispersal. Factors like humidity, wind speed, and direction, and even rainfall can impact the count. For instance, rain can wash away pollen grains, leading to a temporary drop in the count. In contrast, dry conditions with moderate wind speeds are conducive for pollen spread, leading to higher counts.
It's essential to be aware of these fluctuations, especially for individuals with pollen allergies or sensitivities. By understanding the dynamics of pollen count changes throughout the day, they can make informed decisions about outdoor activities, thus managing their exposure more effectively.
Does the pollen count in Pittsburgh vary between different neighbourhoods or regions within the city?
Pittsburgh, a city with diverse ecological and urban structures, sees variations in pollen counts across its various regions. These variations are the outcome of multiple factors at play.
One of the primary factors is vegetation type. Different neighbourhoods have varied plant and tree profiles, which directly influence the types and quantities of pollen present. For instance, a neighbourhood abundant with oak trees will release more oak pollen compared to an area where pines or maples dominate. Some neighbourhoods might also cultivate specific types of flowers or shrubs in their gardens, leading to specific types of pollen being more prevalent.
Urban development plays a significant role too. As cities expand, natural spaces sometimes give way to buildings and roads. Neighbourhoods that have undergone substantial urban development tend to have fewer green spaces. With fewer plants and trees around, these areas might report lower pollen counts compared to regions where greenery is abundant. Moreover, urban structures, like skyscrapers, can act as barriers, altering the flow and dispersion of pollen grains, causing pockets of high or low concentrations.
The role of water bodies cannot be overlooked. Areas in proximity to rivers, lakes, or streams in Pittsburgh present a unique microclimate. The presence of water bodies impacts humidity and moisture levels, which in turn influence how pollen disperses and settles. A higher moisture content in the air can cause pollen grains to become heavier and fall to the ground more rapidly, potentially leading to lower airborne pollen counts. On the other hand, during certain times of the year, these moist conditions can promote the growth of mould spores, another allergen.
Different altitudes within the city could also result in varied pollen counts. Pollen dispersion is influenced by altitude, wind patterns, and temperature. Neighbourhoods located at higher elevations might experience different pollen conditions than those at lower levels.
Localised pollen counts can be a valuable resource. While general pollen counts give a broad overview of the situation in Pittsburgh, localised data provides specifics. For individuals who have pronounced reactions to certain pollen types or those who need to stay informed due to health reasons, accessing neighbourhood-specific data is beneficial. Using this data, residents can make informed decisions about their daily activities, like when to go out, which areas to avoid, or when to keep windows closed.
The dynamics of pollen count variations in Pittsburgh reflect a delicate balance of nature, urbanisation, and geographical factors. As each neighbourhood in the city has its unique characteristics, the pollen conditions vary accordingly.
What are the seasonal variations for the pollen count in Pittsburgh?
Pittsburgh, much like many other regions, goes through distinct pollen cycles throughout the year. These cycles are influenced by the city's geographical location, climate, and native flora.
In the spring months, tree pollen becomes the primary contributor to the pollen count. Trees such as oak, maple, and pine begin their reproductive phases. These trees have evolved to produce vast amounts of pollen to ensure fertilisation. Residents might notice a fine yellow dust on vehicles or other surfaces during peak tree pollen times. This layer of dust is a clear indicator of the high amounts of tree pollen in the atmosphere.
Moving into the summer months, grasses take over as the main pollen producers. Grass pollen grains are typically smaller than tree pollen grains but can still cause significant allergy symptoms. Among the grasses, Bermuda, Kentucky bluegrass, and Timothy grass are particularly prolific. The city's open spaces, parks, and gardens, during this time, become sources of these pollen grains, which easily get dispersed by wind and other environmental factors.
As the warmth of summer gives way to the cooler temperatures of autumn, the profile of pollen in Pittsburgh shifts once again. This time, weed pollen dominates. Weeds such as ragweed, goldenrod, and sagebrush become the main culprits. Interestingly, a single ragweed plant can produce up to a billion pollen grains in a season. This means that even if the number of these plants is relatively small, their impact on the overall pollen count can be significant.
Winter, traditionally, is a time of respite for those sensitive to pollen. Cold temperatures and snow inhibit plant growth and, consequently, pollen production. However, the season isn't entirely free from pollen. During milder winters, certain plants, especially those that are evergreen, may continue to produce and release limited amounts of pollen. Furthermore, in areas where there is no snow cover and the ground remains exposed, dormant weed seeds can germinate, producing pollen grains even in these colder months.
In essence, Pittsburgh's pollen count is a dynamic entity, constantly evolving and changing as the seasons progress. It's influenced by the city's biodiversity and weather patterns, resulting in unique pollen profiles for each part of the year.
Can the pollen count in Pittsburgh affect indoor air quality?
Outdoor pollen undeniably has an impact on indoor air quality. One of the primary reasons is the minuscule size of pollen grains. Their small size allows them to easily enter indoor environments through various means.
Let's delve deeper into the ways pollen enters homes and buildings:
- Clothing and Personal Items: People often inadvertently bring pollen indoors on their clothing. After spending time outdoors, especially during high pollen seasons, pollen grains can cling to fabric. When these clothes are brought indoors and not immediately washed, the pollen can be released into the home environment. Moreover, personal items like bags or outdoor equipment can also serve as carriers.
- Open Windows and Doors: Open windows and doors are perhaps the most direct route for pollen to enter indoor spaces. Given that many individuals like to keep their homes well-ventilated, especially during pleasant weather, this becomes a significant point of entry. Depending on the location of the property and its proximity to vegetation, this entry can be more or less pronounced.
- Ventilation Systems: Modern homes and buildings use ventilation systems to circulate air. While these systems often have filters, not all are equipped to effectively trap pollen particles. Over time, as the systems pull in outside air, pollen can get introduced into the indoor environment.
- Other Factors: Pollen doesn't just travel on its own. Wind can carry it great distances, and in some cases, even rain can bring a surge of pollen when followed by sunny weather. Given these transport mechanisms, even homes and buildings that take precautions can still find themselves dealing with indoor pollen.
Once inside, pollen doesn't just float around. It settles. Places like carpeting, upholstery, and bedding can trap and hold onto these grains. Over time, activities such as walking on the carpet or sitting on a sofa can reintroduce the pollen into the air, leading to a cycle of contamination.
The repercussions of pollen inside the home are numerous. Individuals sensitive to pollen can experience allergic reactions. Symptoms such as sneezing, watery eyes, and respiratory discomfort can become common. Prolonged exposure, as mentioned, is a real concern, especially if the indoor environment lacks the means to filter or cleanse the air efficiently.
The emphasis, therefore, is on understanding the relationship between outdoor and indoor air quality, particularly in regions like Pittsburgh where pollen counts can be high. Proactive measures, like regular cleaning and investing in quality air filtration systems, become essential in managing and reducing indoor pollen levels.
Can the pollen count in Pittsburgh affect pets or animals?
Just like humans, animals can react to the pollen present in the environment. In Pittsburgh, where the pollen count can be significant during specific seasons, pets, especially common ones like cats and dogs, are at risk.
Firstly, it's important to understand how pollen affects these animals. Pollen grains, being microscopic, can easily attach themselves to an animal's fur, skin, paws, or even nostrils. When animals, especially those with longer fur, venture outdoors during peak pollen times, they inadvertently collect and carry these pollen grains. Once they return indoors, they can release this accumulated pollen, especially in spaces where they often lie down or rest.
The reactions pets show due to pollen exposure are similar to those in humans. Skin irritations are one of the most common manifestations. An owner might notice their pet scratching more frequently or trying to bite or chew certain areas of their body. Red or inflamed patches of skin, often seen in areas like the belly or between the paws, can also be indicators of an allergic reaction.
Respiratory reactions can also occur. Sneezing, coughing, and watery eyes can be observed in some pets. If left unchecked, continuous exposure might even lead to more severe respiratory issues or infections, especially if the pet already has an underlying health condition.
The gastrointestinal system isn't immune either. In some rare instances, pets might experience vomiting or diarrhoea after consuming pollen, especially if they groom themselves after being outdoors.
Given these potential risks, it becomes essential for pet owners to take preventive measures. One of the most effective ways is to limit the time their pets spend outside during peak pollen seasons or times of the day when the count is particularly high. If pets have been outside, it's recommended to clean or groom them before letting them back into living areas. This can involve brushing their fur, wiping down their paws, or even giving them a bath in severe cases.
For indoor environments, air purifiers with HEPA filters can be beneficial. These filters can trap pollen grains, preventing them from circulating within the indoor space. Regular cleaning and vacuuming, especially of areas where pets spend a lot of time, can also help in reducing the pollen load indoors.
Lastly, if a pet shows severe or continuous signs of allergies, consulting a veterinarian is crucial. They can provide a proper diagnosis and recommend specific treatments or medications to alleviate the symptoms.
Where is the highest pollen level in Pennsylvania?
- Bessemer3
- Farrell3
- Hasson Heights3
- Hermitage3
- Mercer3
- New Castle Northwest3
- New Wilmington3
- Oakland, Lawrence County3
- Oakwood3
- Oil City3
- Portersville3
- Seneca3
- Sharon3
- Union City3
- Woodland Heights3
- Greensburg2
- Latrobe2
- Lawson Heights2
- Littlestown2
- Loyalhanna2
- New Freedom2
- Paris2
- Point Marion2
- South Greensburg2
- Southwest Greensburg2
- State Line2
- Wayne Heights2
- Westmoreland2
- Abbottstown1
- Adamstown1
- Akron1
- Albion1
- Alburtis1
- Aldan1
- Aliquippa1
- Allegheny1
- Alleghenyville1
- Allentown1
- Allison Park1
- Almedia1
- Altoona1
- Ambler1
- Ambridge1
- Amity Gardens1
- Ancient Oaks1
- Andalusia1
- Annville1
- Apollo1
- Ardmore1
- Arlington Heights1
- Arnold1
- Aspinwall1
- Atglen1
- Audubon1
- Avalon1
- Avella1
- Avis1
- Avon1
- Avondale1
- Avonia1
- Baden1
- Baidland1
- Bainbridge1
- Bakerstown1
- Bala Cynwyd1
- Baldwin1
- Bally1
- Bangor1
- Bath1
- Bear Rocks1
- Beaver1
- Beaver Falls1
- Beaverdale1
- Bedford1
- Belfast1
- Bell Acres1
- Belle Vernon1
- Bellefonte1
- Belleville1
- Bellevue1
- Bellwood1
- Belmont1
- Ben Avon1
- Bentleyville1
- Berlin1
- Berwick1
- Berwyn1
- Bethel Park1
- Bethlehem1
- Big Beaver1
- Biglerville1
- Birdsboro1
- Black Lick1
- Blairsville1
- Blandon1
- Blawnox1
- Bloomfield1
- Blooming Glen1
- Bloomsburg1
- Blossburg1
- Blue Ball1
- Blue Bell1
- Boalsburg1
- Boiling Springs1
- Bonneauville1
- Boothwyn1
- Boswell1
- Bowmansville1
- Boyertown1
- Brackenridge1
- Braddock1
- Braddock Hills1
- Bradford1
- Bradford Woods1
- Breinigsville1
- Brentwood1
- Bressler1
- Brickerville1
- Bridgeport1
- Bridgeville1
- Bristol1
- Brittany Farms-The Highlands1
- Brockway1
- Brookhaven1
- Brookville1
- Broomall1
- Brownstown, Lancaster County1
- Brownsville1
- Browntown1
- Bryn Athyn1
- Bryn Mawr1
- Bucks1
- Bulger1
- Burgettstown1
- Burnham1
- Butler1
- California1
- Callery1
- Caln1
- Calumet1
- Cambridge Springs1
- Camp Hill1
- Campbelltown1
- Canonsburg1
- Carbondale1
- Carlisle1
- Carnegie1
- Carnot-Moon1
- Carroll Valley1
- Carrolltown1
- Castanea1
- Castle Shannon1
- Catasauqua1
- Catawissa1
- Cecil-Bishop1
- Cementon1
- Centerville, Crawford County1
- Central City1
- Centre Hall1
- Cetronia1
- Chalfont1
- Chambersburg1
- Charleroi1
- Cheltenham Village1
- Cherryville1
- Chest Springs1
- Chester1
- Chester Heights1
- Chesterbrook1
- Cheswick1
- Chevy Chase Heights1
- Cheyney University1
- Chicora1
- Chinchilla1
- Christiana1
- Church Hill1
- Churchill1
- Churchville1
- Clairton1
- Clarion1
- Clarks Green1
- Clarks Summit1
- Clay1
- Claysburg1
- Clearfield1
- Cleona1
- Clifton Heights1
- Clymer1
- Coaldale, Schuylkill County1
- Coatesville1
- Cochranton1
- Cochranville1
- Collegeville1
- Collingdale1
- Collinsburg1
- Colonial Park1
- Colony Park1
- Columbia1
- Columbus1
- Colwyn1
- Conestoga1
- Conneaut Lakeshore1
- Connellsville1
- Conshohocken1
- Conway1
- Coopersburg1
- Coplay1
- Coraopolis1
- Cornwall1
- Cornwells Heights1
- Corry1
- Coudersport1
- Crafton1
- Cressona1
- Croydon1
- Curtisville1
- Curwensville1
- Daisytown1
- Dale1
- Dallas1
- Dallastown1
- Dalton1
- Danville1
- Darby1
- Davidsville1
- Delaware1
- Delmont1
- Denver1
- Derry1
- Devon1
- Dewart1
- Dillsburg1
- Donegal1
- Donora1
- Dormont1
- Dorneyville1
- Dover1
- Downingtown1
- Doylestown1
- Dravosburg1
- Drexel Hill1
- Dublin1
- DuBois1
- Duboistown1
- Dunbar1
- Duncannon1
- Duncansville1
- Dunnstown1
- Duquesne1
- Eagleview1
- Eagleville, Montgomery County1
- Earlston1
- East Bangor1
- East Berlin1
- East Berwick1
- East Conemaugh1
- East Earl1
- East Greenville1
- East Lansdowne1
- East McKeesport1
- East Petersburg1
- East Pittsburgh1
- East Stroudsburg1
- East Uniontown1
- East Washington1
- East York1
- Eastlawn Gardens1
- Easton1
- Ebensburg1
- Economy1
- Eddington1
- Eddystone1
- Edgeworth1
- Edinboro1
- Edwardsville1
- Egypt1
- Elim1
- Elizabeth1
- Elizabethtown1
- Elizabethville1
- Elkins Park1
- Elkland1
- Ellport1
- Ellwood City1
- Elrama1
- Elverson1
- Elysburg1
- Emeigh1
- Emigsville1
- Emmaus1
- Emporium1
- Emsworth1
- Enhaut1
- Enlow1
- Enola1
- Ephrata1
- Espy1
- Etna1
- Evans City1
- Evansburg1
- Everett1
- Exeter1
- Exton1
- Factoryville1
- Fairchance1
- Fairdale1
- Fairhope1
- Fairless Hills1
- Fairview, Erie County1
- Falls Creek1
- Farmersville1
- Faxon1
- Fayette1
- Fayetteville1
- Feasterville1
- Fellsburg1
- Felton1
- Ferndale1
- Finleyville1
- Fivepointville1
- Fleetwood1
- Flemington1
- Flinton1
- Flourtown1
- Flying Hills1
- Folcroft1
- Folsom1
- Ford City1
- Forest Hills1
- Fort Washington1
- Forty Fort1
- Foster Brook1
- Fountain Hill1
- Fox Chapel1
- Fox Chase1
- Franklin, Cambria County1
- Franklin Park1
- Fredericksburg, Lebanon County1
- Fredericktown1
- Freedom1
- Freemansburg1
- Freeport1
- Friedens1
- Fullerton1
- Galeton1
- Gap1
- Garden View1
- Gastonville1
- Geistown1
- Gettysburg1
- Gibsonia1
- Gilbertsville1
- Girard1
- Glassport1
- Glen Rock1
- Glendale1
- Glenmoore1
- Glenolden1
- Glenshaw1
- Glenside1
- Gordonville1
- Grantley1
- Green Hills1
- Green Tree1
- Greencastle1
- Greene1
- Greenfields1
- Greenock1
- Greenville1
- Greenwood1
- Grier City1
- Grill1
- Grove City1
- Guilford1
- Halfway House1
- Hallam1
- Hallstead1
- Hamburg1
- Hanover1
- Harleysville1
- Harrisburg1
- Harveys Lake1
- Harwick1
- Hastings1
- Hatboro1
- Hatfield1
- Hawley1
- Hebron1
- Heidelberg1
- Hellertown1
- Hereford1
- Hershey1
- Highland Park1
- Highspire1
- Hilldale1
- Hiller1
- Hokendauqua1
- Hollidaysburg1
- Homeacre-Lyndora1
- Homer City1
- Homestead1
- Hometown1
- Honesdale1
- Honey Brook1
- Hopwood1
- Horsham1
- Houserville1
- Houston1
- Hudson1
- Hughestown1
- Hughesville1
- Hummels Wharf1
- Hummelstown1
- Huntingdon1
- Hyde1
- Hyde Park, Berks County1
- Imperial1
- Indian Mountain Lake1
- Indiana1
- Industry, Allegheny County1
- Ingram1
- Inkerman1
- Intercourse1
- Irwin1
- Ivyland1
- Jacksonwald1
- Jacobus1
- Jamison1
- Jeannette1
- Jefferson Hills1
- Jenkintown1
- Jerome1
- Jersey Shore1
- Jim Thorpe1
- Johnsonburg1
- Johnstown1
- Jonestown, Columbia County1
- Kane1
- Kenhorst1
- Kenilworth1
- Kenmar1
- Kennett Square1
- King of Prussia1
- Kingston1
- Kittanning1
- Knox1
- Kulpmont1
- Kulpsville1
- Kutztown1
- Laflin1
- Lake City1
- Lake Heritage1
- Lake Latonka1
- Lake Meade1
- Lake Wynonah1
- Lakemont1
- Lampeter1
- Lancaster1
- Landisville1
- Langhorne1
- Langhorne Manor1
- Lansdale1
- Lansdowne1
- Lansford1
- Larksville1
- Laurel Mountain1
- Laureldale1
- Laurys Station1
- Lawnton1
- Lebanon1
- Lebanon South1
- Leechburg1
- Leesport1
- Leetsdale1
- Lehigh1
- Lehighton1
- Leith-Hatfield1
- Lemont1
- Lemoyne1
- Lenape Heights1
- Leola1
- Level Green1
- Levittown1
- Lewisburg1
- Lewistown1
- Liberty, Allegheny County1
- Lightstreet1
- Ligonier1
- Lima1
- Lincoln1
- Lincoln Park1
- Linglestown1
- Linntown1
- Linwood1
- Lionville1
- Lititz1
- Lock Haven1
- Loganville1
- Lorane1
- Lower Allen1
- Lower Burrell1
- Loysville1
- Luzerne1
- Lykens1
- Lynnwood-Pricedale1
- Macungie1
- Mahanoy City1
- Malvern1
- Manchester1
- Manheim1
- Manor1
- Mansfield1
- Maple Glen1
- Marcus Hook1
- Marianne1
- Marienville1
- Marietta1
- Marion1
- Mars1
- Marshallton, Northumberland County1
- Martinsburg1
- Marysville1
- Masontown1
- Matamoras1
- Maxatawny1
- Maytown1
- McAdoo1
- McConnellsburg1
- McConnellstown1
- McDonald1
- McGovern1
- McKees Rocks1
- McKeesport1
- McMurray1
- McSherrystown1
- Meadowood1
- Meadville1
- Mechanicsburg1
- Mechanicsville1
- Media1
- Mercersburg1
- Meridian1
- Merion Station1
- Meyersdale1
- Middleburg1
- Middletown, Northampton County1
- Midland, Washington County1
- Midway, Adams County1
- Mifflinburg1
- Mifflintown1
- Mifflinville1
- Milesburg1
- Milford1
- Mill Hall1
- Millbourne1
- Millersburg1
- Millersville1
- Millvale1
- Milroy1
- Milton1
- Minersville1
- Misericordia University1
- Mohnton1
- Monaca1
- Monessen1
- Monongahela1
- Monroeville1
- Mont Alto1
- Montgomery1
- Montgomeryville1
- Montoursville1
- Morrisville, Greene County1
- Morton1
- Mount Carmel1
- Mount Holly Springs1
- Mount Joy1
- Mount Oliver1
- Mount Penn1
- Mount Pleasant1
- Mount Union1
- Mount Wolf1
- Mountville1
- Muhlenberg Park1
- Muncy1
- Mundys Corner1
- Munhall1
- Murrysville1
- Muse1
- Myerstown1
- Nanty-Glo1
- Narberth1
- Natrona Heights1
- Nazareth1
- Nescopeck1
- Nesquehoning1
- New Beaver1
- New Berlinville1
- New Brighton1
- New Britain1
- New Castle1
- New Columbia1
- New Cumberland1
- New Eagle1
- New Freeport1
- New Holland1
- New Hope1
- New Kensington1
- New Kingstown1
- New Oxford1
- New Philadelphia1
- New Stanton1
- Newmanstown1
- Newport1
- Newtown Grant1
- Newtown, Schuylkill County1
- Newville1
- Nicktown1
- Nixon1
- Norristown1
- North Apollo1
- North Belle Vernon1
- North Braddock1
- North Catasauqua1
- North Charleroi1
- North Wales1
- North Warren1
- North York1
- Northampton1
- Northern Cambria1
- Northumberland1
- Northwest Harborcreek1
- Norwood1
- Oak Hills1
- Oakdale1
- Oakmont1
- Ohioville1
- Old Orchard1
- Oley1
- Oliver1
- Orchard Hills1
- Oreland1
- Orwigsburg1
- Osceola Mills1
- Oxford1
- Palmdale1
- Palmer Heights1
- Palmerton1
- Palmyra1
- Palo Alto1
- Paoli1
- Paradise1
- Park Forest Village1
- Parkesburg1
- Parkside1
- Parkville1
- Patton1
- Paxtang1
- Paxtonia1
- Pen Argyl1
- Penbrook1
- Penfield1
- Penn Estates1
- Penn Lake Park1
- Penn Wynne1
- Penndel1
- Pennsburg1
- Pennside1
- Pennville1
- Penryn1
- Perkasie1
- Perry1
- Perryopolis1
- Philadelphia1
- Philipsburg1
- Phoenixville1
- Pine Grove1
- Pine Grove Mills1
- Pine Ridge1
- Pitcairn1
- Pittsburgh1
- Pittston1
- Plains1
- Pleasant Gap1
- Pleasant Hill1
- Pleasant Hills1
- Plum1
- Plumsteadville1
- Plymouth Meeting1
- Pocono Ranch Lands1
- Port Allegany1
- Port Carbon1
- Port Vue1
- Portage1
- Pottsgrove1
- Pottstown1
- Pottsville1
- Progress1
- Prospect1
- Prospect Park, Cameron County1
- Punxsutawney1
- Pymatuning Central1
- Quakertown1
- Quarryville1
- Ramblewood1
- Rankin1
- Raubsville1
- Reading1
- Reamstown1
- Red Hill, Blair County1
- Red Lion1
- Reiffton1
- Reinholds1
- Rennerdale1
- Renovo1
- Republic1
- Reynolds Heights1
- Reynoldsville1
- Rheems1
- Richboro1
- Richland1
- Richlandtown1
- Ridgway1
- Ridley Park1
- Riverside, Cambria County1
- Riverview Park1
- Roaring Spring1
- Robesonia1
- Rochester1
- Rockledge1
- Rockwood1
- Ronco1
- Roseto1
- Roslyn1
- Rothsville1
- Royalton1
- Royersford1
- Russell1
- Russellton1
- Rutherford1
- Salix1
- Salunga1
- Sanatoga1
- Sand Hill1
- Sandy1
- Sandy Lake1
- Saw Creek1
- Saxonburg1
- Saylorsburg1
- Schlusser1
- Schnecksville1
- Schoeneck1
- Schuylkill Haven1
- Schwenksville1
- Scotland1
- Scottdale1
- Selinsgrove1
- Sellersville1
- Seven Fields1
- Sewickley1
- Shamokin Dam1
- Shanor-Northvue1
- Sharon Hill1
- Sharpsburg1
- Sharpsville1
- Shavertown1
- Sheffield1
- Shillington1
- Shiloh1
- Shinglehouse1
- Shippensburg1
- Shiremanstown1
- Shoemakersville1
- Shrewsbury1
- Sierra View1
- Simpson1
- Sinking Spring1
- Skippack1
- Skyline View1
- Slatington1
- Slippery Rock1
- Smethport1
- Somerset1
- Souderton1
- South Coatesville1
- South Connellsville1
- South Pottstown1
- South Temple1
- South Uniontown1
- South Williamsport1
- Southmont1
- Speers1
- Spinnerstown1
- Spring City1
- Spring Grove1
- Spring House1
- Spring Mount1
- Spring Ridge1
- Springdale1
- Springmont1
- Spry1
- St. Clair, Schuylkill County1
- St. Davids1
- St. Lawrence1
- St. Marys1
- State College1
- Steelton1
- Stewartstown1
- Stiles1
- Stoneboro1
- Stony Creek Mills1
- Stonybrook1
- Stowe1
- Strasburg1
- Strausstown1
- Stroudsburg1
- Sturgeon1
- Sugarcreek1
- Summit Hill1
- Sun Valley1
- Sunbury1
- Susquehanna1
- Susquehanna Trails1
- Sutersville1
- Swarthmore1
- Swartzville1
- Swedesburg1
- Swissvale1
- Swoyersville1
- Sykesville1
- Tamaqua1
- Tarentum1
- Tatamy1
- Telford1
- Temple1
- Terre Hill1
- The Hideout1
- Thompsonville1
- Thorndale1
- Tionesta1
- Tipton1
- Titusville1
- Toftrees1
- Topton1
- Toughkenamon1
- Towamensing Trails1
- Towanda1
- Tower City1
- Trafford1
- Trainer1
- Trappe1
- Treasure Lake1
- Tremont1
- Trevorton1
- Trevose1
- Trexlertown1
- Trooper1
- Trucksville1
- Tullytown1
- Tunkhannock1
- Turtle Creek1
- Tyrone1
- Uniontown1
- Unionville, Beaver County1
- Upland1
- Valley Green1
- Valley View, York County1
- Vandergrift1
- Verona1
- Versailles1
- Village Green-Green Ridge1
- Village Shires1
- Vinco1
- Wallenpaupack Lake Estates1
- Walnutport1
- Warminster Heights1
- Warren1
- Washington1
- Waterford1
- Watsontown1
- Wayne1
- Waynesboro1
- Waynesburg1
- Weatherly1
- Weigelstown1
- Weissport East1
- Wellsboro1
- Wernersville1
- Wescosville1
- Wesleyville1
- West Chester1
- West Conshohocken1
- West Easton1
- West Elizabeth1
- West Fairview1
- West Grove1
- West Hamburg1
- West Hills1
- West Homestead1
- West Kittanning1
- West Lawn1
- West Leechburg1
- West Mayfield1
- West Mifflin1
- West Newton1
- West Pittston1
- West Reading1
- West View1
- West Wilmerding1
- West Wyoming1
- West Wyomissing1
- West York1
- Westmont1
- Whitaker1
- White Haven1
- White Oak1
- Whitehall1
- Whitfield1
- Wickerham Manor-Fisher1
- Wilcox1
- Wilkinsburg1
- Williamsburg1
- Williamsport1
- Williamstown1
- Willow Grove1
- Willow Street1
- Wilmerding1
- Wilson1
- Wind Gap1
- Windber1
- Windsor1
- Winterstown1
- Wolfdale1
- Womelsdorf1
- Woodbourne1
- Woodlyn1
- Woodside1
- Wormleysburg1
- Worthington1
- Woxall1
- Wrightsville1
- Wyncote1
- Wyndmoor1
- Wyoming1
- Wyomissing1
- Yardley1
- Yeadon1
- Yeagertown1
- Yoe1
- York1
- Yorklyn1
- Youngsville1
- Youngwood1
- Yukon1
- Zelienople1
- Zion1
- Archbald0
- Ashland0
- Ashley0
- Athens0
- Avoca0
- Beech Mountain Lakes0
- Big Bass Lake0
- Birchwood Lakes0
- Blakely0
- Brodheadsville0
- Canton0
- Conashaugh Lakes0
- Conyngham0
- Cresson0
- Dickson City0
- Dunmore0
- Dupont0
- Duryea0
- Edgewood, Northumberland County0
- Effort0
- Emerald Lakes0
- Erie0
- Fairview-Ferndale0
- Forest City0
- Frackville0
- Freeland0
- Gallitzin0
- Georgetown, Luzerne County0
- Girardville0
- Glen Lyon0
- Gold Key Lake0
- Harleigh0
- Hazleton0
- Hemlock Farms0
- Jermyn0
- Jessup0
- Lackawanna0
- Laporte0
- Lattimer0
- Laurel Lake0
- Lawrence Park0
- Loretto0
- Mayfield0
- Monroe0
- Montrose0
- Moosic0
- Moscow0
- Mount Cobb0
- Mount Pocono0
- Mountain Top0
- Mountainhome0
- Nanticoke0
- New Milford0
- North East0
- Old Forge0
- Olyphant0
- Plymouth0
- Pocono Pines0
- Sayre0
- Scranton0
- Shamokin0
- Shenandoah0
- Shenandoah Heights0
- South Montrose0
- South Waverly0
- Stormstown0
- Sunrise Lake0
- Taylor0
- Throop0
- Troy0
- Waymart0
- West Hazleton0
- Westfield0
- Wilkes-Barre0







