APA Digital Coast Needs Assessment Survey

Needs: Data

Mid-Atlantic Region

TABLE 4i.

Respondents' data needs for planning practice/analysis/research (Question #12)a: Mid-Atlantic Region

DATA SET None Current Data Time-Series Data Data Projections TOTAL
# % # % # % # % # %
Aerial/Satellite Imagery 6 6 34 36 45 47 10 11 95 100
Archaeological/Cultural Resources 14 15 67 71 11 12 3 3 95 100
Bathymetric Elevation (depth of lake or ocean floors) 39 41 39 41 8 8 9 9 95 100
Benthic Environmental Data (bottom of rivers, lakes, or oceans) 32 34 40 42 16 17 7 7 95 100
Building Quantities & Types (commercial, industrial, residential) 9 9 40 42 33 35 13 14 95 100
Coastal Habitat 20 21 40 42 24 25 11 12 95 100
Economic Output by Business Sector 22 23 28 29 20 21 25 26 95 100
Employment by Business Sector 25 26 24 25 21 22 25 26 95 100
Land Cover and Land Cover Change 4 4 31 33 38 40 22 23 95 100
Land Use 5 5 38 40 33 35 19 20 95 100
Land Elevation 8 8 27 60 13 14 17 18 95 100
Marine Jurisdictional Boundaries 46 48 40 42 5 5 4 4 95 100
Navigational 53 56 31 33 7 7 4 4 95 100
Population Attributes (age, race, education, etc.) 13 14 36 38 16 17 30 32 95 100
Population Counts 13 14 33 35 18 19 31 33 95 100
Relative Sea Level Rise 15 16 16 17 19 20 45 47 95 100
Risk Management Data (e.g. storm surge, floodplain, etc.) 4 4 32 34 15 16 44 46 95 100
Shoreline Erosion 11 12 23 24 22 23 39 41 95 100
Wages/Earnings by Business Sector 30 32 25 26 21 22 19 20 95 100
Water Quality 12 13 38 40 27 28 18 19 95 100
Weather/Climate Data 9 9 28 29 28 29 30 32 95 100

a. Responses to Question #13 (What other data needs do you have to best support your planning practice/ analysis/research?) are provided in the Raw Survey Response Matrix.


Table 4i lists 21 possible data sets for which Mid-Atlantic coastal region respondents were asked to assess their needs to support their planning practice, analysis, and research.

The five data sets with the highest percentage of respondents indicating they had no need are:

  1. Navigational (56%);
  2. Marine Jurisdictional Boundaries (48%);
  3. Bathymetric Elevation (41%);
  4. Benthic Environmental Data (34%);
  5. Wages/Earnings by Business Sector (32%).

The six data sets (four tied for #3) with the highest percentage of respondents indicating they needed current data are:

  1. Archaeological/Cultural Resources (71%);
  2. Land Elevation (60%);
  3. Benthic Environmental Data (42)%;
  4. Building Quantities & Types (42%);
  5. Coastal Habitat (42%); and
  6. Marine Jurisdictional Boundaries (42%).

The five data sets with the highest percentage of respondents indicating they needed time-series data are:

  1. Aerial/Satellite Imagery (47%);
  2. Land Cover and Land Cover Change (40%);
  3. Building Quantities & Types (35%);
  4. Land Use (35%); and
  5. Weather/Climate Data (29%).

The six data sets (two tied for #5) with the highest percentage of respondents indicating they needed data projections are:

  1. Relative Sea Level Rise (47%);
  2. Risk Management Data (46%);
  3. Shoreline Erosion (41%);
  4. Population Counts (33%);
  5. Population Attributes (32%); and
  6. Weather/Climate Data (32%).