Federal Way Washington Tax Assessor by aqs16457

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									Washington State Parcel Data User
Survey Results
                                      Luke Rogers
                        Rural Technology Initiative
                       College of Forest Resources
                         University of Washington
                                       Seattle, WA
     Intent

• Qualify and understand the need for
  parcel data
• Quantify current efforts by state, private
  and federal organizations
• Assess the interest in a statewide parcel
  database
• Build interest in a statewide parcel
  database effort
                                    ESRI UC Paper #1472, August 2006
     Methodology

• Construct survey to collect quantifiable
  data and anecdotal observations about
  parcel data use
• Focus on state and federal agency use but
  also solicit local government and private
  organizations where possible
• Sent e-mail solicitations to UW-GIS,
  WAGIC, FMG and CPS-GIS lists

                                  ESRI UC Paper #1472, August 2006
       Respondents

• 43 responses                  Which of the following best
  representing:             describes your organization type?
                           Answer                     #      %
     12 state agencies    Private                     5 11.90%
     5 federal agencies   City                        5 11.90%
                           County                      2 4.76%
     8 local agencies                               16 38.10%
                           State
     8 private            Federal                     8 19.05%
                           Educational Institution     2 4.76%
                           Not for profit 501(c)(3)    2 4.76%
                           Other public                2 4.76%




                                                 ESRI UC Paper #1472, August 2006
           Response Types

Are you responding for multiple users in your organization/group or are users responding
                                       individually?
                             Total responses (N): 36
Answer                                                          Frequency      Percentage
I am responding as an individual in my organization                    16          44.44%
I am responding for multiple users in my organization                  20          55.56%




                                                                     ESRI UC Paper #1472, August 2006
      What software is most used?
What is the primary software your organization uses to
             work with county parcel data?
              Total responses (N): 36
Answer                        Frequency    Percentage
ESRI ArcGIS Desktop                   29       80.56%
ESRI ArcInfo Workstation                6      16.67%
Autodesk AutoCAD                        0       0.00%
ESRI ArcGIS 3.x                         0       0.00%
MapInfo                                 0       0.00%
Microsoft Access                        0       0.00%
Grass                                   0       0.00%
Other:                                  1       2.78%

                                          ESRI UC Paper #1472, August 2006
      Reasons for parcel data use

• Most respondents had                    Why collect parcel data?
  multiple reasons for     Answer
                           land ownership
                                                                       Frequency
                                                                              15

  collecting parcel data   analysis/research/monitoring/modeling
                           land use planning/change
                                                                               6
                                                                               5
                           mailing lists/owner contact                         5
• Land ownership is        activity tracking/compliance/permitting
                           property value/taxes
                                                                               5
                                                                               5

  clearly the most         city annexations
                           geocoding
                                                                               3
                                                                               3

  motivating reason for
                           legislative reporting                               3
                           real estate concerns                                3
                           risk assessment                                     3
  collecting parcel data   conservation
                           guide field surveys
                                                                               2
                                                                               2
                           boundary delineation                                2
                           georeferencing                                      1
                           critical areas                                      1
                           restoration                                         1




                                                           ESRI UC Paper #1472, August 2006
      Public agency rationale

• If you represent a
  public agency, is
  there a law or               Is there a law or mandate for
  mandate that                        data collection?
                              Total responses (N): 36
  provides the rationale
  for parcel collection or   Answer
                             Yes
                                                 Frequency
                                                        21
  use?                       No                          6
                             Not Directly                2




                                               ESRI UC Paper #1472, August 2006
      Comments about reasons why
      organizations collect parcel data
• Increased accuracy
• Decreased time associated with projects or
  ongoing initiatives
• Corresponding decreased cost




                                       ESRI UC Paper #1472, August 2006
           How is parcel data collected?

         How do you collect parcel data? Check all that apply.

                              Total responses (N): 41


Answer                                                  Frequency      Percentage
Directly from the county assessor or GIS department           35            85.37%


Download from county website (FTP or HTTP)                    34            82.93%


From a hired contractor                                         8           19.51%


Purchased from a consultant or commercial business              3            7.32%


Other:                                                        12            29.27%




                                                             ESRI UC Paper #1472, August 2006
      For what geographic extent is
      parcel data needed?
• Geographic extent      For what geographic extent is parcel data
                                        needed?
  varies widely among
  respondents            Answer                           Frequency

• Many have project
                         Washington State                             26
                         Single county / sub county                     9
  specific needs which   Puget Sound                                    4
  range from sub-        Forestlands                                    3
  county to the entire   Western Washington                             2
  state                  USFS land and neighbors                        1
                         Southwest Washington                           1
                         Eastern Washington                             1


                                                 ESRI UC Paper #1472, August 2006
     License agreements & Data
     sharing agreements
• State and local agencies tend to have a
  low percentage of license agreements
• Private companies tend to have a high
  percentage of license agreements
• Federal agencies have almost no license
  agreements or are not aware if they do
• Very few entities have data sharing
  agreements. The disparity among users
  may suggest proactive behavior.
                                  ESRI UC Paper #1472, August 2006
       How many counties do people
       have data for?
• Again responses vary
  widely having to do         Responses                     39
  mainly with project
  specific work vs. ongoing   Mean                        11.7
  initiatives                 Median                         7
• Some have attribute data    Mode                           1
  only and others have
                              Min                            0
  linework only
                              Max                           39
                              StDev                       11.4


                                          ESRI UC Paper #1472, August 2006
      How many prohibit the sharing or
      re-distribution of parcel data?
• No clear trend or
  differential between
  public/private.        Responses    35
                         Mean       30%
                         Median      0%
                         Mode        0%
                         Min         0%
                         Max       100%
                         StDev      40%


                                ESRI UC Paper #1472, August 2006
         In what geographic data formats
         do you receive data?
  In what geographic data formats do you receive data from
         parcel data providers? Check all that apply.
                 Total responses (N): 41

Answer                               Frequency Percentage
Shapefile                                   38     92.68%
ESRI Coverage                                21           51.22%
ESRI Geodatabase                             17           41.46%
ESRI ArcSDE Export file                       3             7.32%
AutoCAD                                       5           12.20%
Other: paper, tabular, web app                7           17.07%


                                               ESRI UC Paper #1472, August 2006
          How often does your organization
          collect parcel data?
    How often does your organization collect parcel data?
                    Total responses (N): 42


Answer                                  Frequency    Percentage
Weekly                                          3         7.14%

Monthly                                        6            14.29%

Quarterly                                      5            11.90%

Annually                                       9            21.43%

Less than once a year or as needed            19            45.24%


                                                ESRI UC Paper #1472, August 2006
      Comments about collecting parcel
      and assessor data
• Needs tend to be project specific although there
  are a few ongoing initiatives
• Many users unsure about license agreements
• Inconvenience of collecting data causes some to
  utilize outdated information
• Appears to be a general perception of difficulty
  or hassle associated with acquiring and
  preparing parcel data


                                        ESRI UC Paper #1472, August 2006
       Is parcel feature geometry
       important to your organization?
• Other:                               If parcel feature geometry is
                                  important to your organization, what
    Tax assessment                is it used for? Check all that apply.
    Compliance
                                       Total responses (N): 42
    Surveys
    property lines               Answer                      #             %
    road planning                not important                0      0.00%
    evaluation of forest fire    spatial analysis           37     88.10%
     protection assessment
                                  mapping                      1    95.24%
    identifying land owners at
                                  generating mailing         15     35.71%
     specified points             lists
    lease rights                 geocoding                  17     40.48%

                                  Other:                       7    14.29%


                                                       ESRI UC Paper #1472, August 2006
               Which assessor attributes are
               important?
               If assessor attributes are important which ones are used? Check all that apply.
                    Total responses (N): 40 93% say attributes are important

Answer                 Frequency     Percentage    Answer                        Frequency       Percentage
parcel ID number       35            87.50%        owner state                   27              67.50%

owner name             32            80.00%        owner zip                     27              67.50%
landuse                31            77.50%        land value                    24              60.00%

site address           30            75.00%        owner country                 23              57.50%
zoning                 30            75.00%        total value                   23              57.50%

parcel acres           30            75.00%        legal description             23              57.50%

site city              29            72.50%        building sq ft                23              57.50%
site zip               29            72.50%        timber acres                  19              47.50%

owner address          28            70.00%        residence status              18              45.00%

building value         28            70.00%        Other:                        14              35.00%
owner city             27            67.50%        timber expectation value      13              32.50%




                                                                                      ESRI UC Paper #1472, August 2006
        Other important assessor
        attributes
• mobile home, utility types, septic type, number of housing units,
  year built, bedrooms, number of floors, structure type
• sales history, sale price, land and building values from previous
  years
• forest fire protection assessment, fire district number, forest
  patrol/protection acres
• building permit information if available, such as: permit ID, permit
  type, permit issue date, permit completion date, issuing authority
• vacant/undeveloped status, boundary line adjustments, legal
  descriptions, plat info, taxing jurisdictions, township-range-sect-
  qtrsect, document numbers, water well number, special restrictions
  on property, land type, site city (legal city), tax account numbers




                                                        ESRI UC Paper #1472, August 2006
       How is parcel and assessor data
       shared?
• Other ways data is   How is parcel and assessor data shared in
  shared                          your organization?

     Librarian                 Total responses (N): 43

     Email            Answer            Frequency      Percentage
                       not shared                 8          18.60%
     FTP
                       network file             26           60.47%
     CD/DVD           system
     SQL Server
                       ArcSDE                   11           25.58%

                       ArcIMS                     4            9.30%

                       Other:                   12           27.91%



                                                ESRI UC Paper #1472, August 2006
     Are derivative products created
     from parcel data?

 Does your organization produce derivative
        products from parcel data?
        Total responses (N): 43

Answer            Frequency     Percentage
yes                      29         67.44%
no                       10            23.26%
unknown                    4              9.30%

                                  ESRI UC Paper #1472, August 2006
      Examples of derivative products

• impervious surfaces, land use, risk models and
  assessments, planning priorities, build out
  scenarios, developments, population estimates,
  housing density
• conservation, suspected septic systems, habitat
  improvement opportunities
• real estate classification/prospects, economic
  development
• annexations, forestlands, crime analyses,
  election maps, fire risk
• normalized statewide parcel database

                                        ESRI UC Paper #1472, August 2006
         Are derivative products publicly
         available?
If your organization does produce products from parcel data are they
            currently available outside your organization?
                    Total responses (N): 43
Answer                           Frequency                  Percentage
yes                                     14                      32.56%
no                                       19                        44.19%
unknown                                  10                        23.26%


If derivative products are not publicly available, could they be made
          available to the counties that provide parcel data?
                    Total responses (N): 32
Answer                           Frequency                  Percentage
yes                                     28                      87.50%
no                                        4                        12.50%
                                                       ESRI UC Paper #1472, August 2006
            What prohibits organizations from
            sharing products with counties?
 If no, then what is prohibiting your organization from sharing the information back with
                             the counties? Check all that apply.
                                Total responses (N): 13
Answer                                                          Frequency        Percentage
Lack of interest from the counties                                       4            30.77%
Legal issues                                                             4            30.77%
Liability                                                                4            30.77%
Metadata not completed, irresponsible to share                           8            61.54%
Other:                                                                   7            53.85%


• Other: network security, incomplete products,
  no mechanism to share/distribute, restrictive
  license agreements, confidentiality, staff
  resources, business advantage
                                                                       ESRI UC Paper #1472, August 2006
     Comments about the way parcel
     data is used or shared
• Project specific data rarely shared due to
  privacy/completeness/interest
• Map products may be shared but the underlying
  data is not
• General suggestions that sharing is good and
  should be encouraged but time/money, privacy
  and liability are concerns




                                     ESRI UC Paper #1472, August 2006
        Cost estimates


            Acquisition   Preparation Management
Responses          27           23                       23
Mean        $ 10,937      $ 16,363    $           6,486
Median      $   1,500     $   4,800   $           1,000
Mode        $       -     $   1,000   $                  -
Min         $       -     $      -    $                  -
Max         $ 160,000     $ 180,000   $        60,000
StDev       $ 32,178      $ 38,281    $        14,996

                                          ESRI UC Paper #1472, August 2006
      Value of parcel and assessor data
      to organizations
• Agencies tasked with legislative or legal
  mandates view the data as critical and many
  state it would not be possible to do their jobs
  without it.
• General perception of efficiency and improved
  accuracy
• “The associated value is intangible in that it is
  both hard to value and invaluable.“


                                          ESRI UC Paper #1472, August 2006
         Assuming it met your needs and
         was available for your use, what
         dollar value would you place on an
         integrated, normalized statewide
         parcel database with a limited set
         of assessor attributes?
                   Value if Available
Responses                                                    25
Mean                                    $             25,258
Median                                  $               1,700
Mode                                     $                 500
Min                                          $                 -
Max                                     $           500,000
StDev                                   $             99,526
                                        ESRI UC Paper #1472, August 2006
         If an integrated database was
         available for your use, how often
         would updates be desired?
 If an integrated, normalized statewide parcel database was
 available for your use, how often would updates be desired?
                  Total responses (N): 41

Answer                        Frequency            Percentage
Weekly                                4                 9.76%
Monthly                                6                   14.63%
Quarterly                            17                    41.46%
Annually                             13                    31.71%
Other:                                 4                     9.76%

                                                ESRI UC Paper #1472, August 2006
      Any additional comments about
      the costs of parcel data collection?
• Many organizations have no funds to acquire or
  manage parcel data
• Many organizations acquire data infrequently
  due to costs and hassle. Would get updates
  more often if it was convenient.
• Consistency among counties desired




                                       ESRI UC Paper #1472, August 2006
     Additional comments

• Concern that a statewide database would
  be large
   Desire to be able to acquire regions or sub-
    county areas
• Majority of respondents see value in
  statewide database
• Some confusion with cost data expressed


                                        ESRI UC Paper #1472, August 2006
     Next steps

• Summarizing survey results into a brief
  document
• Constructing a survey of county data
  producers
• Drafting possible data standard
• Drafting a catch-all pass-thru license
  agreement


                                   ESRI UC Paper #1472, August 2006

								
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