Description: Extent The ParkServe database maintains an inventory of parks for every urban area in the U.S., including Puerto Rico. This includes all incorporated and Census-designated places that lie within any of the country’s 3,000+ census-designated urban areas. This totals to over 15,000 cities, towns, or villages included in the database, which represents about 75% of the U.S. population. Parks Database Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, we delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm our delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool. How do we define a park? In order to accurately represent park access across large communities, open public access is the key criteria for inclusion in our database. We include a wide variety of parks, trails, and open space, so long as there is no barrier to entry. Examples of parks we include: Publicly-owned local, state, and national parks, trails, and open space School with a joint-use agreement with the local government. Privately-owned parks that are managed for full public use Examples of parks we don’t include: Parks in gated communities Private golf courses Private cemeteries School parks/playgrounds without active joint-use agreements Zoos, museums, professional sports stadiums For field descriptions, see https://www.tpl.org/park-data-downloads
gDate
(
type: esriFieldTypeString, alias: Date and Time of survey assessment, length: 50
)
pAccess
(
type: esriFieldTypeString, alias: Please confirm if the park is open or permanently closed., length: 50
)
gSafe
(
type: esriFieldTypeString, alias: Do you feel unsafe?, length: 50
)
peType
(
type: esriFieldTypeString, alias: Within the park, what designated parking is available?, length: 150
)
peHandi
(
type: esriFieldTypeInteger, alias: How many handicap parking spaces are there?
)
peGatesP
(
type: esriFieldTypeString, alias: Are there gates (opened or closed) at any of the park entrances?, length: 100
)
peSignsP
(
type: esriFieldTypeString, alias: Are there signs at any of the park entrances?, length: 50
)
peSignsW
(
type: esriFieldTypeString, alias: Do any of the park signs contain the following?, length: 250
)
peSignsC
(
type: esriFieldTypeString, alias: What is the condition of the signs?, length: 200
)
ppFncPct
(
type: esriFieldTypeString, alias: Walk the perimeter of the park (if feasible). Approximately what portion of the park's perimeter is fenced?, length: 50
)
eONE
(
type: esriFieldTypeString, alias: What is the type of fencing is present around the perimeter of the park?, length: 100
)
ppFncC
(
type: esriFieldTypeString, alias: What is the condition of the park's fencing?, length: 200
)
pFeat
(
type: esriFieldTypeString, alias: Check which of the following park features are present at the park. For those checked yes, you will later be asked to provide a count and assessment of the feature type., length: 550
)
plTF
(
type: esriFieldTypeInteger, alias: Total play areas
)
plTot
(
type: esriFieldTypeInteger, alias: Of the play areas reported above, how many feature tot lots specifically for pre-schoolers (aged 2 – 5)?
)
plFiv
(
type: esriFieldTypeInteger, alias: Of the play areas reported above, how many feature playgrounds specifically for grade-schoolers (aged 5-12)?
)
plTrees
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
plShd
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
plCon
(
type: esriFieldTypeString, alias: What is the condition of these play areas?, length: 250
)
plConO
(
type: esriFieldTypeString, alias: Please describe other condition of playgrounds and tot lots, length: 100
)
plSur
(
type: esriFieldTypeString, alias: What is the surface of the playground(s) and tot lot(s)?, length: 50
)
waNum
(
type: esriFieldTypeInteger, alias: How many interactive water play areas, such as splashpads, spraygrounds, or spray showers, are in the park?
)
wpTrees
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
wpShd
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
waCon
(
type: esriFieldTypeString, alias: What is the condition of these water play areas?, length: 200
)
waConO
(
type: esriFieldTypeString, alias: Please describe other condition of water play areas, length: 50
)
fiNum
(
type: esriFieldTypeInteger, alias: How many fitness/exercise areas are there in the park?
)
fiTrees
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
fiShd
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
fiCon
(
type: esriFieldTypeString, alias: What is the condition of these fitness areas?, length: 250
)
fiConO
(
type: esriFieldTypeString, alias: Please describe other condition of fitness area(s), length: 50
)
fiSur
(
type: esriFieldTypeString, alias: What is the surface of the fitness zone(s)? Check all that apply, length: 50
)
doNum
(
type: esriFieldTypeInteger, alias: How many off-leash dog areas are there in the park?
)
doFen
(
type: esriFieldTypeInteger, alias: Of the total above, how many are fenced?
)
doTrees
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
doShd
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
doCon
(
type: esriFieldTypeString, alias: What is the condition of these dog park areas?, length: 150
)
doConO
(
type: esriFieldTypeString, alias: Please describe other condition of dog park area(s), length: 50
)
pbNum
(
type: esriFieldTypeInteger, alias: How many designated areas are there in the park with tables for picnics and/or bbqs?
)
pbNsh
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
pbSha
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
pbCon
(
type: esriFieldTypeString, alias: What is the condition of these designated picnic/bbq areas?, length: 200
)
pbConO
(
type: esriFieldTypeString, alias: Please describe other condition of picnic/bbq area(s), length: 250
)
reNum
(
type: esriFieldTypeInteger, alias: How many permanent restroom facilities are there in the park?
)
reOpe
(
type: esriFieldTypeInteger, alias: Of these permanent restroom facilities, how many are currently open for use?
)
reCon
(
type: esriFieldTypeString, alias: Of these open facilities, what is their condition?, length: 250
)
reConO
(
type: esriFieldTypeString, alias: Please describe other condition of restrooms, length: 100
)
reWh
(
type: esriFieldTypeInteger, alias: Of all permanent restroom facilities, how many are wheelchair accessible?
)
reTe
(
type: esriFieldTypeInteger, alias: How many temporary restroom areas are there in the park?
)
rePp
(
type: esriFieldTypeInteger, alias: How many of these areas have at least one Porta Potty currently open for use?
)
rePw
(
type: esriFieldTypeInteger, alias: How many of these areas have at least one Porta Potty that is wheelchair accessible (wider model, usually designated in different color)?
)
rePb
(
type: esriFieldTypeString, alias: Are there restrooms available to the public for free at an adjacent rec center or other public building?, length: 50
)
wfNum
(
type: esriFieldTypeInteger, alias: How many water fountains and/or hydration stations are in the entire park?
)
wfWh
(
type: esriFieldTypeInteger, alias: How many have ramp access and are wheelchair height (~36 inches tall)?
)
wfFun
(
type: esriFieldTypeInteger, alias: How many are currently functional?
)
wfCon
(
type: esriFieldTypeString, alias: Of all water fountains and hydration stations, what is their condition?, length: 150
)
wfConO
(
type: esriFieldTypeString, alias: Please describe other condition of water fountain and/or hydration stations, length: 50
)
trNum
(
type: esriFieldTypeInteger, alias: How many permanent waste receptacles, including trash and recycling, are there in the entire park (e.g. fixed to the ground and weather proof)? Do not include those made of cardboard or other temporary materials.
)
trOf
(
type: esriFieldTypeString, alias: Of all waste receptacles, what is their condition?, length: 200
)
eTWO
(
type: esriFieldTypeString, alias: Please describe other condition of waste receptacles, length: 50
)
seCAP
(
type: esriFieldTypeString, alias: If people used all the seating types identified above, how many could sit down in the park?, length: 50
)
seNsh
(
type: esriFieldTypeString, alias: Of the seating types identified above, which seating types are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?, length: 250
)
seSha
(
type: esriFieldTypeString, alias: Of the seating types identified above, which seating types have a constructed shade structure present?, length: 250
)
nfMfgt
(
type: esriFieldTypeString, alias: Are any of the following present in the park?, length: 250
)
nfMfgtO
(
type: esriFieldTypeString, alias: Please describe other meadows, flowers, or gardens, length: 50
)
nfMfgC
(
type: esriFieldTypeString, alias: Across these designated landscaping sites, about what percentage are 'visibly dead'?, length: 100
)
nfWft
(
type: esriFieldTypeString, alias: Is there a place, such as a trail, sitting or viewing area, in the park to enjoy any of the following water features in or directly adjacent to the park?, length: 100
)
nfWftO
(
type: esriFieldTypeString, alias: Please describe other types of water features available for enjoyment:, length: 50
)
nfWfCnt
(
type: esriFieldTypeInteger, alias: Across the park, how many distinct areas are there to view these water features?
)
nfWfC
(
type: esriFieldTypeString, alias: What is the condition of the sitting or viewing area?, length: 200
)
nfWfCO
(
type: esriFieldTypeString, alias: Please describe other condition of sitting or viewing area for water features:, length: 50
)
nfWfNsh
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
nfWfSha
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
nfDvt
(
type: esriFieldTypeString, alias: Is there a viewing area in the park to enjoy any of the following distant views?, length: 150
)
nfDvtO
(
type: esriFieldTypeString, alias: Please describe other types of distance views:, length: 100
)
nfDvCnt
(
type: esriFieldTypeInteger, alias: Across the park, how many distinct areas are there to experience these distant views?
)
nfDvC
(
type: esriFieldTypeString, alias: What is the condition of the sitting or viewing area?, length: 150
)
nfDvCO
(
type: esriFieldTypeString, alias: Please describe other condition of sitting/viewing area for distant views:, length: 50
)
nfDvNsh
(
type: esriFieldTypeInteger, alias: Of the total above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
nfDvSha
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
nfTsCnt
(
type: esriFieldTypeString, alias: If you were to view the park from a plane, what percentage of it would be covered by trees or shrubs?, length: 100
)
nfTsC
(
type: esriFieldTypeString, alias: Across all trees and shrubs, about what percentage are 'visibly dead'?, length: 100
)
nfTMCnt
(
type: esriFieldTypeInteger, alias: Across the park, about how many mature trees are present and alive? If too many to count (e.g. entire park is a mature forest), please provide best estimate rounded to nearest 100 (e.g. 100, 200, 300)
)
inflwn
(
type: esriFieldTypeInteger, alias: How many informal lawns for people to sit, relax, or play, are present at the park?
)
inflwnSha
(
type: esriFieldTypeInteger, alias: Of the total above, how many have a constructed shade structure present?
)
inflwnNsh
(
type: esriFieldTypeInteger, alias: Of the total above, how many have mature trees within or directly adjacent to the feature itself?
)
inflwnC
(
type: esriFieldTypeString, alias: What is the condition of these informal lawns? Check all that apply to at least one., length: 250
)
inflwnCO
(
type: esriFieldTypeString, alias: Please describe other condition of the informal lawns:, length: 50
)
plz
(
type: esriFieldTypeInteger, alias: How many plazas for people to sit, relax, or play, are present at the park?
)
plzNsh
(
type: esriFieldTypeInteger, alias: Of the total plazas above, how many are at least 'somewhat' shaded from a constructed shade structure, mature trees, or other buildings?
)
plzShd
(
type: esriFieldTypeInteger, alias: Of the total plazas above, how many have a constructed shade structure present?
)
plzC
(
type: esriFieldTypeString, alias: What is the condition of these plazas? Check all that apply to at least one., length: 100
)
plzCO
(
type: esriFieldTypeString, alias: Please describe the other condition of the plazas:, length: 50
)
fqStr
(
type: esriFieldTypeString, alias: Are there any semi-permanent housing structures present in the park (e.g. presence of tents)? <br></br> This will help the city understand what services are needed to serve this park’s users.</>, length: 50
)
fqAr
(
type: esriFieldTypeString, alias: Are there any additional recreational park features (e.g. skate park) that were not captured above? If so, please describe:, length: 300
)
fqSc
(
type: esriFieldTypeString, alias: Are there any additional social or cultural park features (e.g. murals, flower plantings, memorials) that were not captured above? If so, please describe, length: 250
)
fqNn
(
type: esriFieldTypeString, alias: Are there any notable additional natural features (views, water access, meadows) that were not captured above? If so, please describe., length: 100
)
fqShd
(
type: esriFieldTypeString, alias: If you were to visit this park on a hot July afternoon, where (if anywhere) in the park would you go to be shaded from the sun?, length: 300
)
fqNp
(
type: esriFieldTypeString, alias: In one sentence, what stands out to you as the most notable feature of this park?, length: 250
)
fqDam
(
type: esriFieldTypeString, alias: Are there any major damages, issues, or safety concerns that should be shared with the city’s staff?, length: 250
)
fqRat
(
type: esriFieldTypeInteger, alias: On a scale of 0 - 10, with 10 being 'extremely likely', how likely would you be to recommend this park to a friend or colleague?
)
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: Extent The ParkServe database maintains an inventory of parks for every urban area in the U.S., including Puerto Rico. This includes all incorporated and Census-designated places that lie within any of the country’s 3,000+ census-designated urban areas. This totals to over 15,000 cities, towns, or villages included in the database, which represents about 75% of the U.S. population. Parks Database Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, we delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm our delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool. How do we define a park? In order to accurately represent park access across large communities, open public access is the key criteria for inclusion in our database. We include a wide variety of parks, trails, and open space, so long as there is no barrier to entry. Examples of parks we include: Publicly-owned local, state, and national parks, trails, and open space School with a joint-use agreement with the local government. Privately-owned parks that are managed for full public use Examples of parks we don’t include: Parks in gated communities Private golf courses Private cemeteries School parks/playgrounds without active joint-use agreements Zoos, museums, professional sports stadiums For field descriptions, see https://www.tpl.org/park-data-downloads
Description: Extent The ParkServe database maintains an inventory of parks for every urban area in the U.S., including Puerto Rico. This includes all incorporated and Census-designated places that lie within any of the country’s 3,000+ census-designated urban areas. This totals to over 15,000 cities, towns, or villages included in the database, which represents about 75% of the U.S. population. Parks Database Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, we delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm our delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool. How do we define a park? In order to accurately represent park access across large communities, open public access is the key criteria for inclusion in our database. We include a wide variety of parks, trails, and open space, so long as there is no barrier to entry. Examples of parks we include: Publicly-owned local, state, and national parks, trails, and open space School with a joint-use agreement with the local government. Privately-owned parks that are managed for full public use Examples of parks we don’t include: Parks in gated communities Private golf courses Private cemeteries School parks/playgrounds without active joint-use agreements Zoos, museums, professional sports stadiums For field descriptions, see https://www.tpl.org/park-data-downloads
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.