American Community Survey The U.S. Census ACS data includes information about demographics, household composition, employment, commute patterns, and housing. Iggy currently relies on ACS data collected over the 5-year period 2015-2020. The primary advantage of using multi-year estimates is the increased statistical reliability for less populated areas and small population subgroups. Only census-designated boundaries (county, census_tract, and cbg) incorporate features from acs, as these are the levels at which ACS data is reported and provided.
Brand names Well-known grocers, clothing, and other retail brands.
Business Banks and other financial institutions
Examples: Bank of America, Wells Fargo, Chase Bank
More details ID Normalization Aggregation Type poi_ is_ bank_ count
count
INT64
poi_ is_ bank_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ bank_ count_ per_ capita
per_capita
count
FLOAT64
Drinking establishments where alcoholic beverages are served
Examples: Missfits Tavern, Barcelona Bar, The American Legion Post 30
More details ID Normalization Aggregation Type poi_ is_ bar_ count
count
INT64
poi_ is_ bar_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ bar_ count_ per_ capita
per_capita
count
FLOAT64
Businesses that rent cars for personal and business use
More details ID Normalization Aggregation Type
Child day care services
Examples: KinderCare, Lakeview Headstart, Trinity Lutheran Church And Preschool
More details ID Normalization Aggregation Type poi_ is_ child_ care_ count
count
INT64
poi_ is_ child_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ child_ care_ count_ per_ capita
per_capita
count
FLOAT64
High end stores, e.g. Banana Republic
More details ID Normalization Aggregation Type
Luxury brand stores, typically designer / fashion houses
More details ID Normalization Aggregation Type
Mainstream stores, e.g. Old Navy
More details ID Normalization Aggregation Type
Coffee shops
Examples: Starbucks, Dunkin Donuts, Peets Coffee
More details ID Normalization Aggregation Type poi_ is_ coffee_ shop_ count
count
INT64
poi_ is_ coffee_ shop_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ coffee_ shop_ count_ per_ capita
per_capita
count
FLOAT64
Convenience stores.
Examples: Wawa, ampm, 7-Eleven
More details ID Normalization Aggregation Type poi_ is_ convenience_ store_ count
count
INT64
poi_ is_ convenience_ store_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ convenience_ store_ count_ per_ capita
per_capita
count
FLOAT64
Corporate headquarter office
Examples: Google, Apple, Microsoft
More details ID Normalization Aggregation Type poi_ is_ corporate_ headquarter_ count
count
INT64
poi_ is_ corporate_ headquarter_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ corporate_ headquarter_ count_ per_ capita
per_capita
count
FLOAT64
Barber shops, beauty salons, nail salons, diet centers, and other personal care retail services
Examples: Nails by Betty, Family Salon, Mat Su Tattoo & Body Piercing
More details ID Normalization Aggregation Type poi_ is_ cosmetic_ and_ personal_ care_ retail_ count
count
INT64
poi_ is_ cosmetic_ and_ personal_ care_ retail_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ cosmetic_ and_ personal_ care_ retail_ count_ per_ capita
per_capita
count
FLOAT64
Services pertaining to death care including cemeteries, crematoriums, funeral homes, and funeral services
Examples: Park Cemetery, Baird Funeral Home, Old Chapel Burial Ground
More details ID Normalization Aggregation Type poi_ is_ death_ care_ count
count
INT64
poi_ is_ death_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ death_ care_ count_ per_ capita
per_capita
count
FLOAT64
Dry cleaning and laundry services
Examples: Big Springs Laundry, Champs Cleaners, Sam's Custom Cleaners
More details ID Normalization Aggregation Type poi_ is_ dry_ cleaning_ and_ laundry_ count
count
INT64
poi_ is_ dry_ cleaning_ and_ laundry_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ dry_ cleaning_ and_ laundry_ count_ per_ capita
per_capita
count
FLOAT64
Electric vehicle charging stations
Examples: Volta Charging, Nissan Charging Station, Tesla Supercharger
More details ID Normalization Aggregation Type poi_ is_ ev_ charging_ station_ count
count
INT64
poi_ is_ ev_ charging_ station_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ ev_ charging_ station_ count_ per_ capita
per_capita
count
FLOAT64
Fast food restaurants
Examples: McDonalds, Burger King, Taco Bell
More details ID Normalization Aggregation Type poi_ is_ fast_ food_ restaurant_ count
count
INT64
poi_ is_ fast_ food_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ fast_ food_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
High end studio-style gyms (e.g. cycling classes)
More details ID Normalization Aggregation Type
High end full service gyms
More details ID Normalization Aggregation Type
Mainstream gym and fitness center brands
More details ID Normalization Aggregation Type
Gyms and fitness center brands emphasizing low monthly costs and high availability
More details ID Normalization Aggregation Type
Restaurants that are full-service, not limited-service or no-service.
Examples: Olive Garden, BJ's Restaurant & Brewhouse, Mellow Mushroom
More details ID Normalization Aggregation Type poi_ is_ full_ service_ restaurant_ count
count
INT64
poi_ is_ full_ service_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ full_ service_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
Casinos and other gambling locations
Examples: Debbie's Slots Lounge, Texas Poker Supply, Papa Ray's Sports Bar, Legendary Waters Resort *& Casino
More details ID Normalization Aggregation Type poi_ is_ gambling_ count
count
INT64
poi_ is_ gambling_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ gambling_ count_ per_ capita
per_capita
count
FLOAT64
Locations for amusement and recreation, including arcades, amusement parks, equestrian, and bowling alleys
Examples: West End Bowling & Arcade, ESCAPE Alaska, Silver Wind Stables
More details ID Normalization Aggregation Type poi_ is_ games_ and_ amusement_ recreation_ count
count
INT64
poi_ is_ games_ and_ amusement_ recreation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ games_ and_ amusement_ recreation_ count_ per_ capita
per_capita
count
FLOAT64
Gas stations and other petroleum products wholesalers
Examples: Amoco, Red Bank Municipal Court Charting Station, Speedy Cafe
More details ID Normalization Aggregation Type poi_ is_ gas_ station_ count
count
INT64
poi_ is_ gas_ station_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ gas_ station_ count_ per_ capita
per_capita
count
FLOAT64
Locations for golf courses and country clubs
Examples: Belvedere Golf Club, Indian Hills Country Club, Creekside Mini Golf
More details ID Normalization Aggregation Type poi_ is_ golf_ and_ country_ club_ recreation_ count
count
INT64
poi_ is_ golf_ and_ country_ club_ recreation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ golf_ and_ country_ club_ recreation_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores and supermarkets
Examples: Pathmark, Country Grocery Store, Nick's Supermarket
More details ID Normalization Aggregation Type poi_ is_ grocery_ store_ count
count
INT64
poi_ is_ grocery_ store_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ grocery_ store_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that were opened in the last 12 months
Examples: Trader Joes, Safeway, Albertsons
More details ID Normalization Aggregation Type poi_ is_ grocery_ store_ new_ count
count
INT64
poi_ is_ grocery_ store_ new_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ grocery_ store_ new_ count_ per_ capita
per_capita
count
FLOAT64
Gyms and fitness centers
Examples: Orangetheory Fitness, Jazzercise, Yoga Nest Venice
More details ID Normalization Aggregation Type poi_ is_ gyms_ and_ fitness_ recreation_ count
count
INT64
poi_ is_ gyms_ and_ fitness_ recreation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ gyms_ and_ fitness_ recreation_ count_ per_ capita
per_capita
count
FLOAT64
Premium segment hotel brands focused on business travel, like convention centers
More details ID Normalization Aggregation Type
Premium segment hotel brands focused on leisure travel, like spas or resorts
More details ID Normalization Aggregation Type
Mainstream hotel brands, with typical nightly room rates above $150
More details ID Normalization Aggregation Type
Value hotel brands, with typical nightly room rates below $150
More details ID Normalization Aggregation Type
Restaurants not associated with a brand.
Examples: Misi, Kru, Casa Publica
More details ID Normalization Aggregation Type poi_ is_ independent_ restaurant_ count
count
INT64
poi_ is_ independent_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ independent_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
Fast casual restaurants that are at a mainstream price point.
Examples: Jersey Mike's Subs, Chipotle Mexican Grill, Shake Shack
More details ID Normalization Aggregation Type poi_ is_ mainstream_ fast_ casual_ restaurant_ count
count
INT64
poi_ is_ mainstream_ fast_ casual_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ mainstream_ fast_ casual_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
Fast casual restaurants that are at a mainstream price point and were opened in the last 12 months
Examples: Jersey Mike's Subs, Chipotle Mexican Grill, Shake Shack
More details ID Normalization Aggregation Type poi_ is_ mainstream_ fast_ casual_ restaurant_ new_ count
count
INT64
poi_ is_ mainstream_ fast_ casual_ restaurant_ new_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ mainstream_ fast_ casual_ restaurant_ new_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that are not premium or value segment
Examples: Trader Joes, Safeway, Albertsons
More details ID Normalization Aggregation Type poi_ is_ mainstream_ grocery_ store_ count
count
INT64
poi_ is_ mainstream_ grocery_ store_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ mainstream_ grocery_ store_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that are not premium or value segment, that were opened in the last 12 months
Examples: Trader Joes, Safeway, Albertsons
More details ID Normalization Aggregation Type poi_ is_ mainstream_ grocery_ store_ new_ count
count
INT64
poi_ is_ mainstream_ grocery_ store_ new_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ mainstream_ grocery_ store_ new_ count_ per_ capita
per_capita
count
FLOAT64
Marinas and yacht clubs
Examples: Sugartree Marina, Vermilion Yacht Club, Johnny's Marina & RV Park
More details ID Normalization Aggregation Type poi_ is_ marinas_ and_ yacht_ clubs_ count
count
INT64
poi_ is_ marinas_ and_ yacht_ clubs_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ marinas_ and_ yacht_ clubs_ count_ per_ capita
per_capita
count
FLOAT64
Businesses that provide sports instruction including martial arts
Examples: Excel Taekwondo Academy, React Elite Cheer and Tumble, Goldfish Swim School
More details ID Normalization Aggregation Type poi_ is_ martial_ arts_ and_ other_ sports_ instruction_ count
count
INT64
poi_ is_ martial_ arts_ and_ other_ sports_ instruction_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ martial_ arts_ and_ other_ sports_ instruction_ count_ per_ capita
per_capita
count
FLOAT64
Massage services
More details ID Normalization Aggregation Type
Nail salons
More details ID Normalization Aggregation Type poi_ is_ nail_ salon_ count
count
INT64
poi_ is_ nail_ salon_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ nail_ salon_ count_ per_ capita
per_capita
count
FLOAT64
Pharmacies
Examples: Walmart Pharmacy, Kwik Trip, CVS Pharmacy
More details ID Normalization Aggregation Type poi_ is_ pharmacy_ count
count
INT64
poi_ is_ pharmacy_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ pharmacy_ count_ per_ capita
per_capita
count
FLOAT64
Full-service, limited-service, and self-service restaurants including cafeterias, buffets, and snack bars
Examples: China King, Trent City Pizzeria, Heavenly Hot Dogs, Toby's Supper Club
More details ID Normalization Aggregation Type poi_ is_ restaurant_ count
count
INT64
poi_ is_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
Businesses that provide transportation for land or water *based sightseeing
Examples: Beasley's Fishing Charters, Old Town Charters, Private Yacht Charters Florida
More details ID Normalization Aggregation Type poi_ is_ sightseeing_ transportation_ count
count
INT64
poi_ is_ sightseeing_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ sightseeing_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Lift-served alpine ski and snowboard areas, both public and private
Examples: Loveland Basin Ski Area, Monarch Mountain, Alpine Valley Resort
More details ID Normalization Aggregation Type poi_ is_ skiing_ facilities_ count
count
INT64
poi_ is_ skiing_ facilities_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ skiing_ facilities_ count_ per_ capita
per_capita
count
FLOAT64
Spa locations
More details ID Normalization Aggregation Type
Stores providing specialized food, including bakeries, confectionary, fish and seafood markets, produce markets, meat markets, and other specialty food
Examples: Sage Baking Company, Dorothy's Candies, Snow Creek Meat Processing, Seafood America, Fiesta Empanada
More details ID Normalization Aggregation Type poi_ is_ specialty_ food_ retail_ count
count
INT64
poi_ is_ specialty_ food_ retail_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ specialty_ food_ retail_ count_ per_ capita
per_capita
count
FLOAT64
Specialized retail including book stores and florists
Examples: Swan's Fine Books, Lenora's Flowers and Gifts, Barnes & Noble
More details ID Normalization Aggregation Type poi_ is_ specialty_ retail_ count
count
INT64
poi_ is_ specialty_ retail_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ specialty_ retail_ count_ per_ capita
per_capita
count
FLOAT64
Sports clubs and spectator sports venues, including racetracks
Examples: Saratoga Woods Swim Club, Charles Watson Stadium, Atlanta Dragway
More details ID Normalization Aggregation Type poi_ is_ spectator_ sports_ arenas_ and_ clubs_ count
count
INT64
poi_ is_ spectator_ sports_ arenas_ and_ clubs_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ spectator_ sports_ arenas_ and_ clubs_ count_ per_ capita
per_capita
count
FLOAT64
Fast casual restaurants that are upscale in price point.
Examples: Cava, Sweetgreen, Poke Bros
More details ID Normalization Aggregation Type poi_ is_ upscale_ fast_ casual_ restaurant_ count
count
INT64
poi_ is_ upscale_ fast_ casual_ restaurant_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ upscale_ fast_ casual_ restaurant_ count_ per_ capita
per_capita
count
FLOAT64
Fast casual restaurants that are upscale in price point that were opened in the last 12 months
Examples: Cava, Sweetgreen, Poke Bros
More details ID Normalization Aggregation Type poi_ is_ upscale_ fast_ casual_ restaurant_ new_ count
count
INT64
poi_ is_ upscale_ fast_ casual_ restaurant_ new_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ upscale_ fast_ casual_ restaurant_ new_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that are high end
Examples: Whole Foods, Planet Organic, Wegmans
More details ID Normalization Aggregation Type poi_ is_ upscale_ grocery_ store_ count
count
INT64
poi_ is_ upscale_ grocery_ store_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ upscale_ grocery_ store_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that are high end that were opened in the last 12 months
Examples: Whole Foods, Planet Organic, Wegmans
More details ID Normalization Aggregation Type poi_ is_ upscale_ grocery_ store_ new_ count
count
INT64
poi_ is_ upscale_ grocery_ store_ new_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ upscale_ grocery_ store_ new_ count_ per_ capita
per_capita
count
FLOAT64
General waste disposal services, not solely focused on hazardous waste or recycling
Examples: Junk King Reno, Ron's Tree Removal, Bobcat Disposal
More details ID Normalization Aggregation Type poi_ is_ waste_ disposal_ service_ count
count
INT64
poi_ is_ waste_ disposal_ service_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ waste_ disposal_ service_ count_ per_ capita
per_capita
count
FLOAT64
Grocery stores that are wholesale
Examples: Costco, Sam's Club, BJ's Wholesale Club
More details ID Normalization Aggregation Type poi_ is_ wholesale_ grocery_ store_ count
count
INT64
poi_ is_ wholesale_ grocery_ store_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ wholesale_ grocery_ store_ count_ per_ capita
per_capita
count
FLOAT64
Cultural Attractions Designated historical sites
Examples: Iowa State Capitol, Swing Around Rosie Mural, Deborah Sampson Monument
More details ID Normalization Aggregation Type poi_ is_ historical_ site_ count
count
INT64
poi_ is_ historical_ site_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ historical_ site_ count_ per_ capita
per_capita
count
FLOAT64
Museums and historical foundations
Examples: Brigham City Museum, Chester Gould Dick Tracy Museum, Pasadena Fire Museum
More details ID Normalization Aggregation Type poi_ is_ museum_ count
count
INT64
poi_ is_ museum_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ museum_ count_ per_ capita
per_capita
count
FLOAT64
Zoos and botanical gardens
Examples: Penguin Encounter, Wildlife Safari, Bear Canyon Ranch and Petting Zoo, The Estate at Florentine Gardens, BVA Compass Roof Garden
More details ID Normalization Aggregation Type poi_ is_ nature_ recreation_ count
count
INT64
poi_ is_ nature_ recreation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ nature_ recreation_ count_ per_ capita
per_capita
count
FLOAT64
Venues for performing arts, sports, and similar events
Examples: Nat Bailey Stadium, Sadler Ranch, Austin City Limits Studio, Fillmore Auditorium
More details ID Normalization Aggregation Type poi_ is_ performance_ venue_ count
count
INT64
poi_ is_ performance_ venue_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ performance_ venue_ count_ per_ capita
per_capita
count
FLOAT64
Places of worship and religiously-affiliated charitable organizations
Examples: Maranatha Romanian Baptist Church, Holy Transfiguration Monastery, The Soul Factory Inc, St Andrew's Church
More details ID Normalization Aggregation Type poi_ is_ religious_ organization_ count
count
INT64
poi_ is_ religious_ organization_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ religious_ organization_ count_ per_ capita
per_capita
count
FLOAT64
Derived American Community Survey Measures The U.S. Census ACS data includes information about demographics, household composition, employment, commute patterns, and housing. Iggy currently relies on ACS data collected over the 5-year period 2015-2020. The primary advantage of using multi-year estimates is the increased statistical reliability for less populated areas and small population subgroups. Only census-designated boundaries (county, census_tract, and cbg) incorporate features from acs, as these are the levels at which ACS data is reported and provided.
Schools Public and private elementary, middle, and high schools
Examples: Springdale High School, Pacelli Catholic High School, San Marino Montessori
More details ID Normalization Aggregation Type poi_ is_ elementary_ or_ secondary_ school_ count
count
INT64
poi_ is_ elementary_ or_ secondary_ school_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ elementary_ or_ secondary_ school_ count_ per_ capita
per_capita
count
FLOAT64
Colleges, junior colleges, universities, and professional schools
Examples: Mesalands Community College, Temple University, Concorde Career Institute Tampa
More details ID Normalization Aggregation Type poi_ is_ post_ secondary_ school_ count
count
INT64
poi_ is_ post_ secondary_ school_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ post_ secondary_ school_ count_ per_ capita
per_capita
count
FLOAT64
Specialty schools including music schools, cooking schools, art schools, language schools, and technical or trade schools
Examples: French For the Future, Kutenai Art Therapy Institute, Gemini School of Visual Arts & Communication
More details ID Normalization Aggregation Type poi_ is_ specialty_ school_ count
count
INT64
poi_ is_ specialty_ school_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ specialty_ school_ count_ per_ capita
per_capita
count
FLOAT64
Government Fire Departments
Examples: Bossier City Fire Department Station 3, Manilla Volunteer Fire Department
More details ID Normalization Aggregation Type poi_ is_ fire_ protection_ count
count
INT64
poi_ is_ fire_ protection_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ fire_ protection_ count_ per_ capita
per_capita
count
FLOAT64
Correctional institutions where people are incarcerated
Examples: Kirkland Correctional Institution, Oceana County. Jail, Wicomico County Detention Center
More details ID Normalization Aggregation Type poi_ is_ incarceration_ location_ count
count
INT64
poi_ is_ incarceration_ location_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ incarceration_ location_ count_ per_ capita
per_capita
count
FLOAT64
Police stations and other justice, public order, and safety activities
Examples: Federal Bureau of Investigation, Carroll County Sheriff, Flash Point Investigations
More details ID Normalization Aggregation Type poi_ is_ public_ safety_ count
count
INT64
poi_ is_ public_ safety_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ public_ safety_ count_ per_ capita
per_capita
count
FLOAT64
Health Care Dentists, prosthodontists, and orthodontists
Examples: Optimal Dental, Henson Orthodontics
More details ID Normalization Aggregation Type poi_ is_ dentistry_ count
count
INT64
poi_ is_ dentistry_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ dentistry_ count_ per_ capita
per_capita
count
FLOAT64
General medical and surgical hospitals, and general physicians
Examples: Hampstead Primary Care, Trumann Medical Clinic, Marian Medical Center
More details ID Normalization Aggregation Type poi_ is_ general_ health_ care_ count
count
INT64
poi_ is_ general_ health_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ general_ health_ care_ count_ per_ capita
per_capita
count
FLOAT64
Offices of mental health practitioners and physicians, and outpatient substance abuse centers
Examples: The Counseling Palette, Lifecare Family Services, Cindy Goldsmith LCSW
More details ID Normalization Aggregation Type poi_ is_ mental_ health_ care_ count
count
INT64
poi_ is_ mental_ health_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ mental_ health_ care_ count_ per_ capita
per_capita
count
FLOAT64
other specialized health practitioners
Examples: Eye Health Services, Reflection Ridge Chiropractic, Healthcore Physical Therapy, Lakeridge Recovery Long Beach
More details ID Normalization Aggregation Type poi_ is_ specialty_ health_ care_ count
count
INT64
poi_ is_ specialty_ health_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ specialty_ health_ care_ count_ per_ capita
per_capita
count
FLOAT64
Same-day clinics that hadle a variety of (usually non-emergency) medical problems
Examples: Baptist Health Urgent Care, Get Well Urgent Care, PhysicianOne Urgent Care
More details ID Normalization Aggregation Type poi_ is_ urgent_ health_ care_ count
count
INT64
poi_ is_ urgent_ health_ care_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ urgent_ health_ care_ count_ per_ capita
per_capita
count
FLOAT64
Industry equipment, and other types
Examples: Premier Aircraft, Kelly's Appliances, FirstBuild, Gas Electric Parts
More details ID Normalization Aggregation Type poi_ is_ manufacturing_ count
count
INT64
poi_ is_ manufacturing_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ manufacturing_ count_ per_ capita
per_capita
count
FLOAT64
Electric power generation facilities, including hydroelectric, solar, and wind
Examples: St Charles Solar, Hamakua Energy Plant, FirstEnergy Springdale Power Station
More details ID Normalization Aggregation Type poi_ is_ power_ generation_ count
count
INT64
poi_ is_ power_ generation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ power_ generation_ count_ per_ capita
per_capita
count
FLOAT64
Parks Our parks data includes terrestrial and marine protected areas inventoried by the the United States Geological Survey . Parks in PAD-US are dedicated to preserving biological diversity, and to other natural, recreation, and cultural uses. Our breakdown of the PAD-US includes aspects of ownership / management (federal, state, local, and private land, for instance), the intended use (recreation vs. agriculture or ranching), and other access-related attributes. A park may have a value of 1 for more than one attribute. For example, a state park might have is_conservation_area=1
, is_open_access=1
, and is_parks_and_recreation=1
.
Protected lands designated as private agricultural or ranching areas, or as an agricultural or ranch easement
Examples: Tranquility Farm, Private Individual 110, DE Dept of Ag - Easement 545
More details ID Normalization Aggregation Type agricultural_ or_ ranching_ area_ count
count
INT64
agricultural_ or_ ranching_ area_ count_ per_ sqkm
per_sqkm
count
FLOAT64
agricultural_ or_ ranching_ area_ count_ per_ capita
per_capita
count
FLOAT64
agricultural_ or_ ranching_ area_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
agricultural_ or_ ranching_ area_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
agricultural_ or_ ranching_ area_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Conservation areas include both public and private lands with voluntary conservation easements, as determined by the area's GAP Status Code. GAP 1 and 2 lands are permanently protected from conversion. They allow only natural disturbances (GAP 1) or specific management interventions (e.g., wildfire suppression; GAP 2).
Examples: Whiskeytown-Shasta-Trinity National Recreation Area, Cuyahoga Valley National Park, Willow Lake National Wildlife Refuge
More details ID Normalization Aggregation Type conservation_ area_ count
count
INT64
conservation_ area_ count_ per_ sqkm
per_sqkm
count
FLOAT64
conservation_ area_ count_ per_ capita
per_capita
count
FLOAT64
conservation_ area_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
conservation_ area_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
conservation_ area_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas designated as easements. There are a large variety of easement types, including conservation, forest stewardship, historic or cultural, recreation or education, agricultural, or ranch easements, in addition to other and unknown easement types.
Examples: Chattahoochee River National Recreation Area, Marshall County Waterfowl Production Area 4, U.S. Army Corp of Engineers Easement 187-24
More details ID Normalization Aggregation Type easement_ count
count
INT64
easement_ count_ per_ sqkm
per_sqkm
count
FLOAT64
easement_ count_ per_ capita
per_capita
count
FLOAT64
easement_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
easement_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
easement_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas managed by federal agencies
Examples: Badlands National Park, Obed Wild and Scenic River, Holston Army Ammunition Plant
More details ID Normalization Aggregation Type federal_ land_ count
count
INT64
federal_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
federal_ land_ count_ per_ capita
per_capita
count
FLOAT64
federal_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
federal_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
federal_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas designated as historic or cultural areas or easements, including local, state, and private historic or cultural areas.
Examples: Antietam National Battlefield, Home of Franklin D. Roosevelt National Historic Site, Timucuan Ecological and Historic Preserve
More details ID Normalization Aggregation Type historic_ or_ cultural_ area_ count
count
INT64
historic_ or_ cultural_ area_ count_ per_ sqkm
per_sqkm
count
FLOAT64
historic_ or_ cultural_ area_ count_ per_ capita
per_capita
count
FLOAT64
historic_ or_ cultural_ area_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
historic_ or_ cultural_ area_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
historic_ or_ cultural_ area_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas managed by local governments
Examples: Rotterdam Town Lands, Woodmont Academy, Montgomery County
More details ID Normalization Aggregation Type local_ land_ count
count
INT64
local_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
local_ land_ count_ per_ capita
per_capita
count
FLOAT64
local_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
local_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
local_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Federally recognized American Indian reservations and off-reservation trust lands
Examples: Cherokee OTSA, Kipnuk ANVSA, Washoe Ranches Trust Land
More details ID Normalization Aggregation Type native_ american_ land_ count
count
INT64
native_ american_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
native_ american_ land_ count_ per_ capita
per_capita
count
FLOAT64
native_ american_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
native_ american_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
native_ american_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Public access to the protected area carries no special requirements (with the possible exception of regular hours of availability).
Examples: Toiyabe National Forest, California Coastal National Monument, Monroe Recreation Area
More details ID Normalization Aggregation Type open_ access_ area_ count
count
INT64
open_ access_ area_ count_ per_ sqkm
per_sqkm
count
FLOAT64
open_ access_ area_ count_ per_ capita
per_capita
count
FLOAT64
open_ access_ area_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
open_ access_ area_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
open_ access_ area_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Public access to the protected area is either open or limited. Open locations carry no special requirements for access to the property (may include regular hours of availability). Limited-access locations require a special permit from the owner for access, a registration permit on public land (for example, self-permitting Wild and Scenic River, backcountry Wilderness registration) or has highly variable times when open to use.
Examples: Sequoia-Kings Canyon Wilderness Area, National Key Deer Refuge, River Raisin National Battlefield Park
More details ID Normalization Aggregation Type open_ or_ limited_ access_ area_ count
count
INT64
open_ or_ limited_ access_ area_ count_ per_ sqkm
per_sqkm
count
FLOAT64
open_ or_ limited_ access_ area_ count_ per_ capita
per_capita
count
FLOAT64
open_ or_ limited_ access_ area_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
open_ or_ limited_ access_ area_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
open_ or_ limited_ access_ area_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
National, State, Local, or Private Parks; National, State, or Local Recreation Areas; Recreation Management Areas, Private Recreation or Education areas, or Recreation or Education Easements.
Examples: Irvine Ranch Open Space, Red Cedar Golf Course, Hoover Reservoir Park
More details ID Normalization Aggregation Type parks_ and_ recreation_ count
count
INT64
parks_ and_ recreation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
parks_ and_ recreation_ count_ per_ capita
per_capita
count
FLOAT64
parks_ and_ recreation_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
parks_ and_ recreation_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
parks_ and_ recreation_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas owned and managed by private interests.
Examples: Davenport Farm, Hawkins Pond and Mill, Saguache Creek Corridor - Sheep Creek Ranch
More details ID Normalization Aggregation Type private_ land_ count
count
INT64
private_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
private_ land_ count_ per_ capita
per_capita
count
FLOAT64
private_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
private_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
private_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas managed by special districts, which are independent government units created for a limited, specific purpose, usually to meet a specific need of the local community
Examples: Salt Creek Greenway 7, Winooski Valley Park District, San Antonio Creek
More details ID Normalization Aggregation Type special_ district_ land_ count
count
INT64
special_ district_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
special_ district_ land_ count_ per_ capita
per_capita
count
FLOAT64
special_ district_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
special_ district_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
special_ district_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Protected areas managed by states
Examples: Montana Department of Transportation, Ebenezer Swamp Ecological Preserve, Utah Lake
More details ID Normalization Aggregation Type state_ land_ count
count
INT64
state_ land_ count_ per_ sqkm
per_sqkm
count
FLOAT64
state_ land_ count_ per_ capita
per_capita
count
FLOAT64
state_ land_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
state_ land_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
state_ land_ total_ area_ of_ intersecting_ features_ in_ sqkm
total_ area_ of_ intersecting_ features_ in_ sqkm
FLOAT64
Social and Community Services Environmental, conservation, and wildlife preservation organizations
Examples: Bluegrass Doberman Rescue, Landmarks Preservation Society of Southeast, Lake Tahoe Wildlife Care
More details ID Normalization Aggregation Type poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count
count
INT64
poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count_ per_ capita
per_capita
count
FLOAT64
Other social advocacy organizations
Examples: American Legion, Fraternal Order of Eagles
More details ID Normalization Aggregation Type poi_ is_ social_ advocacy_ organization_ count
count
INT64
poi_ is_ social_ advocacy_ organization_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ social_ advocacy_ organization_ count_ per_ capita
per_capita
count
FLOAT64
Youth, individual, and family support services
Examples: Big Brothers Big Sisters, SequelCare, YMCA, Boys & Girls Club of Newport Beach
More details ID Normalization Aggregation Type poi_ is_ youth_ individual_ or_ family_ service_ count
count
INT64
poi_ is_ youth_ individual_ or_ family_ service_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ youth_ individual_ or_ family_ service_ count_ per_ capita
per_capita
count
FLOAT64
Transportation Airports supporting fixed-wing aircraft
Examples: Lewis and Clark Airstrip, Nettle Creek Landings, Chicago O'Hare International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ count
count
INT64
poi_ is_ airport_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ count_ per_ capita
per_capita
count
FLOAT64
Receives 1 percent or more of the annual U.S. commercial enplanements
Examples: Louisville Muhammad Ali International Airport, Indianapolis International Airport, Memphis International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ cargo_ hub_ large_ count
count
INT64
poi_ is_ airport_ cargo_ hub_ large_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ cargo_ hub_ large_ count_ per_ capita
per_capita
count
FLOAT64
Receives 0.25 to 1.0 percent of the annual U.S. weight landed
Examples: Lehigh Valley International Airport, San Diego International Airport, Denver International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ cargo_ hub_ medium_ count
count
INT64
poi_ is_ airport_ cargo_ hub_ medium_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ cargo_ hub_ medium_ count_ per_ capita
per_capita
count
FLOAT64
Receives more than 0 to 0.25 percent of the annual U.S. weight landed
Examples: Washington Dulles International Airport, Bill and Hillary Clinton National Airport, Fort Lauderdale/Hollywood International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ cargo_ hub_ small_ count
count
INT64
poi_ is_ airport_ cargo_ hub_ small_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ cargo_ hub_ small_ count_ per_ capita
per_capita
count
FLOAT64
Receives 1 percent or more of the annual U.S. commercial enplanements
Examples: John F Kennedy International Airport, Newark Liberty International Airport, Chicago O'Hare International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ passenger_ hub_ large_ count
count
INT64
poi_ is_ airport_ passenger_ hub_ large_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ passenger_ hub_ large_ count_ per_ capita
per_capita
count
FLOAT64
Receives 0.25 to 1.0 percent of the annual U.S. commercial enplanements
Examples: Portland International Airport, Pittsburgh International Airport, Kansas City International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ passenger_ hub_ medium_ count
count
INT64
poi_ is_ airport_ passenger_ hub_ medium_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ passenger_ hub_ medium_ count_ per_ capita
per_capita
count
FLOAT64
Receives more than 10,000 to 0.25 percent of the annual U.S. commercial enplanements
Examples: Savannah/Hilton Head International Airport, Northeast Wyoming Regional Airport, Buffalo Niagara International Airport
More details ID Normalization Aggregation Type poi_ is_ airport_ passenger_ hub_ small_ count
count
INT64
poi_ is_ airport_ passenger_ hub_ small_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ airport_ passenger_ hub_ small_ count_ per_ capita
per_capita
count
FLOAT64
Commuter and metro rail stops and terminals
Examples: Stations for rail lines such as the MTA, SEPTA and BART
More details ID Normalization Aggregation Type poi_ is_ commuter_ or_ metro_ rail_ transportation_ count
count
INT64
poi_ is_ commuter_ or_ metro_ rail_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ commuter_ or_ metro_ rail_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Helipads and heliports
Examples: Charlevoix Area Hospital, High Alpine, La National Guard
More details ID Normalization Aggregation Type poi_ is_ heliport_ count
count
INT64
poi_ is_ heliport_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ heliport_ count_ per_ capita
per_capita
count
FLOAT64
Highway access points, estimated using Open Street Map (OSM). It includes all points where roads tagged as motorway_link
segments intersect trunk
, primary
, or motorway
segments. We reduce overcounting by counting distinct groups of highway access points identified using a spatial matching algorithm.
More details ID Normalization Aggregation Type poi_ is_ highway_ access_ point_ count
count
INT64
poi_ is_ highway_ access_ point_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ highway_ access_ point_ count_ per_ capita
per_capita
count
FLOAT64
The 'small roads' highway access points feature includes all points where roads tagged as highway=motorway_link
intersect only smaller roads (segments tagged as highway=trunk
or highway=primary
). This is the more conservative estimate of the two. As with the parent feature, we reduce overcounts with a spatial matching algorithm.
More details ID Normalization Aggregation Type poi_ is_ highway_ access_ point_ small_ roads_ count
count
INT64
poi_ is_ highway_ access_ point_ small_ roads_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ highway_ access_ point_ small_ roads_ count_ per_ capita
per_capita
count
FLOAT64
Intercity bus stops and terminals
Examples: Port Authority Bus Terminal
More details ID Normalization Aggregation Type poi_ is_ intercity_ bus_ transportation_ count
count
INT64
poi_ is_ intercity_ bus_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ intercity_ bus_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Intercity rail stops and terminals
Examples: Penn Station, Union Station, 30th St Station
More details ID Normalization Aggregation Type poi_ is_ intercity_ rail_ transportation_ count
count
INT64
poi_ is_ intercity_ rail_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ intercity_ rail_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Local bus stops and terminals
Examples: Stops for bus systems such as the MTA, SEPTA and SFMTA
More details ID Normalization Aggregation Type poi_ is_ local_ bus_ transportation_ count
count
INT64
poi_ is_ local_ bus_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ local_ bus_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Air fields supporting dirigibles, hot air balloons, and ultralights
Examples: Flying Machines Airstrip, Ron's Ultralight Fld, Portage Lake Muni
More details ID Normalization Aggregation Type poi_ is_ other_ air_ transportation_ count
count
INT64
poi_ is_ other_ air_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ other_ air_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Mixed mode and other urban transit stops and administration
Examples: Sunset Empire Transportation District Thousand Trail, Tri Rail Sheridan Street Station, Baltimore Water Taxi Canton
More details ID Normalization Aggregation Type poi_ is_ other_ transportation_ count
count
INT64
poi_ is_ other_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ other_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Parking lots and garages
Examples: Zion Park, Memorial Plaza Garage, Galaxy Valet Services
More details ID Normalization Aggregation Type poi_ is_ parking_ count
count
INT64
poi_ is_ parking_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ parking_ count_ per_ capita
per_capita
count
FLOAT64
Ports that receive 1 percent or more of the annual U.S. tonnage
More details ID Normalization Aggregation Type
Ports that receive 0.25 to 1 percent of the annual U.S. tonnage
More details ID Normalization Aggregation Type
Ports that receive more 0 and less than 0.25 percent of the annual U.S. tonnage
More details ID Normalization Aggregation Type
Major intra- and interurban connecting highways
More details ID Normalization Aggregation Type
Regional highways linking towns, intra-urban connections
More details ID Normalization Aggregation Type
County roads, and neighborhood roads
More details ID Normalization Aggregation Type
Inland water passenger transportation including ferries
Examples: Protection Island Ferry, MBTA Commuter. Boat, Carnival Cruise Lines
More details ID Normalization Aggregation Type poi_ is_ water_ transportation_ count
count
INT64
poi_ is_ water_ transportation_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ water_ transportation_ count_ per_ capita
per_capita
count
FLOAT64
Water The type of water body.
Coastal areas. Land at the edge of the sea, but not lakes and rivers.
More details ID Normalization Aggregation Type coast_ intersects
intersects
BOOL
coast_ intersecting_ length_ in_ km
intersecting_ length_ in_ km
FLOAT64
Includes lakes, reservoirs, lagoons and ponds.
Examples: Lake Tahoe, Lake Michigan, Lake Erie
More details ID Normalization Aggregation Type lake_ intersects
intersects
BOOL
lake_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
lake_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
Rivers, streams and canals
Examples: Mississippi River, Colorado River, Rio Grande
More details ID Normalization Aggregation Type river_ intersects
intersects
BOOL
river_ intersecting_ area_ in_ sqkm
intersecting_ area_ in_ sqkm
FLOAT64
river_ pct_ area_ intersecting_ boundary
per_sqkm * 100
intersecting_ area_ in_ sqkm
FLOAT64
Intro to Place Data – An overview of the model-ready data and features that Iggy provides.
Social and Community Services
Conservation and Wildlife Preservation
Environmental, conservation, and wildlife preservation organizations
Examples: Bluegrass Doberman Rescue, Landmarks Preservation Society of Southeast, Lake Tahoe Wildlife Care
poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count
count
INT64
poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ environment_ conservation_ or_ wildlife_ organization_ count_ per_ capita
per_capita
count
FLOAT64
Fraternal and Social Advocacy Organizations
Other social advocacy organizations
Examples: American Legion, Fraternal Order of Eagles
poi_ is_ social_ advocacy_ organization_ count
count
INT64
poi_ is_ social_ advocacy_ organization_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ social_ advocacy_ organization_ count_ per_ capita
per_capita
count
FLOAT64
Youth, Individual, and Family Support Services
Youth, individual, and family support services
Examples: Big Brothers Big Sisters, SequelCare, YMCA, Boys & Girls Club of Newport Beach
poi_ is_ youth_ individual_ or_ family_ service_ count
count
INT64
poi_ is_ youth_ individual_ or_ family_ service_ count_ per_ sqkm
per_sqkm
count
FLOAT64
poi_ is_ youth_ individual_ or_ family_ service_ count_ per_ capita
per_capita
count
FLOAT64