Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Extent </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN STYLE="font-weight:bold;">Parks Database </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN STYLE="font-weight:bold;">How do we define a park? </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN>Examples of parks we include: </SPAN></P><P><SPAN>Publicly-owned local, state, and national parks, trails, and open space </SPAN></P><P><SPAN>School with a joint-use agreement with the local government. </SPAN></P><P><SPAN>Privately-owned parks that are managed for full public use </SPAN></P><P><SPAN>Examples of parks we don’t include: </SPAN></P><P><SPAN>Parks in gated communities </SPAN></P><P><SPAN>Private golf courses </SPAN></P><P><SPAN>Private cemeteries </SPAN></P><P><SPAN>School parks/playgrounds without active joint-use agreements </SPAN></P><P><SPAN>Zoos, museums, professional sports stadiums </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>For field descriptions, see </SPAN></SPAN><A href="https://www.tpl.org/park-data-downloads"><SPAN><SPAN>https://www.tpl.org/park-data-downloads</SPAN></SPAN></A><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
gDate
(
type: esriFieldTypeDate, alias: Date and Time of survey assessment, length: 8
)
gSafe
(
type: esriFieldTypeString, alias: Do you feel unsafe?, length: 255
)
peType
(
type: esriFieldTypeString, alias: Within the park, what designated parking is available?, length: 255
)
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: 255
)
peFenceP
(
type: esriFieldTypeString, alias: About how much of the park perimeter is fenced with a constructed fence? (Hidden), length: 255
)
peSignsP
(
type: esriFieldTypeString, alias: Are there signs at any of the park entrances? , length: 255
)
peSignsN
(
type: esriFieldTypeString, alias: How many signs are there?, length: 255
)
peSignsW
(
type: esriFieldTypeString, alias: Do any of the park signs contain the following?, length: 255
)
peSignsC
(
type: esriFieldTypeString, alias: What is the condition of the signs? , length: 255
)
pFeat
(
type: esriFieldTypeString, alias: Check which of the following park features are present at the park. For those checked yes, you will be asked to provide a count and assessment of the feature type., length: 341
)
nbCo
(
type: esriFieldTypeString, alias: What is the condition of these courts? Check all that apply to at least one court, length: 255
)
nbCoO
(
type: esriFieldTypeString, alias: Please specify 'other condition' of the courts:, length: 255
)
wpNum
(
type: esriFieldTypeInteger, alias: How many formalized ‘walking loops’ are in the park? Include oval running tracks
)
wpCo
(
type: esriFieldTypeString, alias: Overall, what is the condition of the park’s walking loops, or tracks, or formal paths (e.g. paved and/or maintained gravel or dirt)?, length: 255
)
wpCoO
(
type: esriFieldTypeString, alias: Please specify 'other condition' of the park’s walking loops, tracks, or formal paths, length: 255
)
wpNat
(
type: esriFieldTypeInteger, alias: If any, how many trailheads are present for designated pathways that go through natural areas (e.g. forest, along water, or through meadow)?
)
plBoth
(
type: esriFieldTypeInteger, alias: Total play areas
)
plTot
(
type: esriFieldTypeInteger, alias: Across all play areas, # tot lots (<5 years old)
)
plFiv
(
type: esriFieldTypeInteger, alias: Across all play areas, # for aged 5-12
)
plTF
(
type: esriFieldTypeInteger, alias: Across all play areas, # for ages 12+
)
plPcs
(
type: esriFieldTypeInteger, alias: How many pieces of playground equipment across the entire park?
)
plCon
(
type: esriFieldTypeString, alias: What is the condition of these play areas? , length: 255
)
plConO
(
type: esriFieldTypeString, alias: Please specify 'other condition' of play areas, length: 255
)
plSur
(
type: esriFieldTypeString, alias: What is the surface of the playground(s)? , length: 255
)
plSurO
(
type: esriFieldTypeString, alias: Please specify 'other surface' of play area, length: 255
)
waNum
(
type: esriFieldTypeInteger, alias: How many interactive water play areas, such as splashpads, spraygrounds, or spray showers, are in the park?
)
waCon
(
type: esriFieldTypeString, alias: What is the condition of these water play areas?, length: 255
)
waConO
(
type: esriFieldTypeString, alias: Please specify other condition of water play areas, length: 255
)
fiNum
(
type: esriFieldTypeInteger, alias: How many fitness/exercise areas are there in the park?<br></br><br></br>Count by fitness ‘area’, rather than individual fitness equipment. (e.g. if along a trail, count the set as one)
)
fiCon
(
type: esriFieldTypeString, alias: What is the condition of these fitness areas?, length: 255
)
fiConO
(
type: esriFieldTypeString, alias: Please specify other condition of fitness areas, length: 255
)
fiSur
(
type: esriFieldTypeString, alias: What is the surface of the fitness station(s)? , length: 255
)
fiSurO
(
type: esriFieldTypeString, alias: Please specify other surface of fitness zone(s), length: 255
)
doNum
(
type: esriFieldTypeInteger, alias: How many off-leash dog parks are there in the park?
)
doFen
(
type: esriFieldTypeInteger, alias: Of these, how many are fenced?
)
doCon
(
type: esriFieldTypeString, alias: What is the condition of these dog parks? Check all that apply to at least one fitness area, length: 255
)
doConO
(
type: esriFieldTypeString, alias: Please specify other condition of dog parks, length: 255
)
pbNum
(
type: esriFieldTypeInteger, alias: How many constructed shelters are there in the park with either tables or bbq equipment? )
pbSha
(
type: esriFieldTypeInteger, alias: How many constructed shelters are there in the park without tables or bbq equipment?
)
pbNsh
(
type: esriFieldTypeInteger, alias: How many other designated areas are there in the park with tables for picnics and/or bbqs without any constructed shelter? )
pbCon
(
type: esriFieldTypeString, alias: What is the condition of these shelters and associated equipment? , length: 255
)
reNum
(
type: esriFieldTypeInteger, alias: How many permanent restroom facilities are there in the park? )
reOpe
(
type: esriFieldTypeInteger, alias: Of these, how many are currently open for use?
)
reCon
(
type: esriFieldTypeString, alias: Of these open facilities, what is their condition? Check all that apply to at least one restroom., length: 255
)
reConO
(
type: esriFieldTypeString, alias: Please specify other condition of restrooms, length: 255
)
reWh
(
type: esriFieldTypeInteger, alias: Of all permanent restroom buildings, how many are wheelchair accessible (either ramp access or level with sidewalk)?
)
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? Only include if obvious (i.e. don’t spend much time tracking this down), length: 255
)
wfNum
(
type: esriFieldTypeInteger, alias: How many water fountains and/or hydration stations are in the entire park (functional or not)?
)
wfWh
(
type: esriFieldTypeInteger, alias: How many have ramp access and are wheelchair height?
)
wfFun
(
type: esriFieldTypeInteger, alias: How many are currently functional (e.g. water is drinkable, regardless of leaks)?
)
wfCon
(
type: esriFieldTypeString, alias: Of all water fountains and hydration stations, what is their condition?, length: 255
)
wfConO
(
type: esriFieldTypeString, alias: Please specify other condition of fountains and hydration stations, length: 255
)
liNumB
(
type: esriFieldTypeInteger, alias: Lighting attached to building:
)
seTy
(
type: esriFieldTypeString, alias: What types of seating is available in the park? Exclude picnic tables captured in earlier question., length: 255
)
seTyO
(
type: esriFieldTypeString, alias: Please specify other type of seating, length: 255
)
seCAP
(
type: esriFieldTypeString, alias: Among all seating availability identified above, approximately how many people could sit on something at one time (exclude sitting on the ground)?, length: 255
)
nfCon
(
type: esriFieldTypeString, alias: Are there any of the following maintained landscaping features?, length: 255
)
nfTyp
(
type: esriFieldTypeString, alias: What is the condition of the plants at the park? If surveying in winter, only indicate if plant is known to be dead (e.g. if plant could be dormant or dead, assume alive), length: 255
)
fqStr
(
type: esriFieldTypeString, alias: Are there any semi-permanent housing structures present in the park (e.g. presence of tents)? This will help the city understand what services are needed to serve this park’s users., length: 255
)
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: 255
)
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: 255
)
fqNn
(
type: esriFieldTypeString, alias: Are there any additional natural features (views, water access, meadows) that were not captured above? If so, please describe., length: 255
)
fqNp
(
type: esriFieldTypeString, alias: In one sentence, what stands out to you as the most notable feature of this park?, length: 255
)
fqDam
(
type: esriFieldTypeString, alias: Are there any major damages, issues, or safety concerns that should be shared with the city’s staff?, length: 255
)
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?
)
Name: Surveyed parks (results overview with final park by condition scores)
Display Field: Park_Name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Extent </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN STYLE="font-weight:bold;">Parks Database </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN STYLE="font-weight:bold;">How do we define a park? </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN>Examples of parks we include: </SPAN></P><P><SPAN>Publicly-owned local, state, and national parks, trails, and open space </SPAN></P><P><SPAN>School with a joint-use agreement with the local government. </SPAN></P><P><SPAN>Privately-owned parks that are managed for full public use </SPAN></P><P><SPAN>Examples of parks we don’t include: </SPAN></P><P><SPAN>Parks in gated communities </SPAN></P><P><SPAN>Private golf courses </SPAN></P><P><SPAN>Private cemeteries </SPAN></P><P><SPAN>School parks/playgrounds without active joint-use agreements </SPAN></P><P><SPAN>Zoos, museums, professional sports stadiums </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>For field descriptions, see </SPAN></SPAN><A href="https://www.tpl.org/park-data-downloads"><SPAN><SPAN>https://www.tpl.org/park-data-downloads</SPAN></SPAN></A><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
asr_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?
)
Name: Very Low Population Density or Unpopulated Areas
Display Field: Shape_Length
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>