Respondents' data needs for planning practice/analysis/research (Question #12)a: Great Lakes

DATA SET	None		Current Data		Time-Series Data		Data Projections		TOTAL
	#	%	#	%	#	%	#	%	#	%
Aerial/Satellite Imagery	12	11	58	53	37	34	3	3	110	100
Archaeological/Cultural Resources	19	17	64	58	24	22	3	3	110	100
Bathymetric Elevation (depth of lake or ocean floors)	39	35	50	45	14	13	7	6	110	100
Benthic Environmental Data (bottom of rivers, lakes, or oceans)	31	28	52	47	18	16	9	8	110	100
Building Quantities & Types (commercial, industrial, residential)	9	8	49	45	43	39	9	8	110	100
Coastal Habitat	32	29	50	45	22	20	6	5	110	100
Economic Output by Business Sector	19	17	38	35	35	32	18	16	110	100
Employment by Business Sector	15	14	43	39	36	33	16	15	110	100
Land Cover and Land Cover Change	10	9	29	26	53	48	18	16	110	100
Land Use	6	5	46	42	39	35	19	17	110	100
Land Elevation	16	15	78	71	13	12	3	3	110	100
Marine Jurisdictional Boundaries	49	45	52	47	5	5	4	4	110	100
Navigational	47	43	52	47	10	9	1	1	110	100
Population Attributes (age, race, education, etc.)	14	13	31	28	31	28	34	31	110	100
Population Counts	12	11	34	31	38	35	26	24	110	100
Relative Sea Level Rise	53	48	15	14	23	21	19	17	110	100
Risk Management Data (e.g. storm surge, floodplain, etc.)	23	21	45	41	18	16	24	22	110	100
Shoreline Erosion	21	19	33	30	33	30	23	21	110	100
Wages/Earnings by Business Sector	20	18	42	38	35	32	13	12	110	100
Water Quality	13	12	48	44	41	37	8	7	110	100
Weather/Climate Data	23	21	30	27	31	28	26	24	110	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 11b lists 21 data sets for which Great Lakes coastal region respondents were asked to identify needs to support planning practice, analysis, and research.

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

Relative Sea Level Rise (48%);

Marine Jurisdictional Boundaries (45%);

Navigational (43%);

Bathymetric Elevation (35%); and

Coastal Habitat (29%).

The five data sets with the highest percentage of respondents indicating they needed current data are:

Land Elevation (71%);

Archaeological/Cultural Resources (58%);

Aerial/Satellite Imagery (53%);

Benthic Environmental Data (47%); and

Navigational Data (47%).

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

Land Cover and Land Cover Change (48%);

Building Types & Quantities (39%);

Water Quality (37%);

Land Use (35%); and

Population Counts (35%).

The five data sets with the highest percentage of respondents indicating they needed data projections are:

Population Attributes (31%);

Population Counts (24%);

Weather/Climate Data (24%);

Risk Management Data (22%); and

Shoreline Erosion (21%).

APA Digital Coast Needs Assessment Survey

Needs: Data

Great Lakes Region

Respondents' data needs for planning practice/analysis/research (Question #12)a: Great Lakes

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