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National Structures Inventory

Note

These will be made available primarily in the insiders only dataset before being made generally available to all users of the community catalog

The National Structure Inventory (NSI) is a system of databases containing structure inventories of varying quality and spatial coverage. The purpose of the NSI databases is to facilitate storage and sharing of point-based structure inventories used in the assessment and analysis of natural hazards. Flood risk is the primary usage, but sufficient data exists on each structure to compute damages and life safety risk due to other hazard types. This document describes the NSI data structure and the processes utilized to produce the 2022 NSI base data.

The National Structure Inventory Base layer was created and is maintained by the U.S. Army Corps of Engineers (USACE). The USACE base data layer was created to simplify the GIS pre-processing workflow for the USACE Modeling Mapping and Consequence center, but the data has gone on to see use in a variety of USACE, FEMA, and other agency applications. The NSI is a repository of point structure inventories with a structured RESTful API service, and the inventory contains a series of required attributes or fields that describe each point in the inventory.

Table of Public Fields

The NSI attributes available to the general public are

Field Name Description Attribute Type Limits
fd_id A number that should be unique for all structures. Integer
bid A building ID, represented as the centroid (in grid reference system format) and four cardinal extents. String
x X coordinate of each structure in the Geographic Coordinate System (GCS) WGS84. Double
y Y coordinate of each structure in GCS WGS84. Double
cbfips Census Block that contains the structure. Currently, the NSI refers to 2010 census blocks. String 15 Characters
st_damcat Damage category of the structure. Aggregated categories include Residential, Commercial, Industrial, or Public. String
occtype Damage Function or Occupancy Type of the structure, related to depth-damage relationships. String
bldgtype Building type of the structure (e.g., Masonry, Wood, Manufactured, Steel). String
source The source of the initial iteration of the structure (e.g., Parcel, ESRI, HIFLD). String
sqft Estimated square footage of the structure. Double
ftprntid Identifier of the building footprint record used for estimating fields such as sqft and num_story. String
ftprntsrc The source of the utilized footprint (e.g., Bing, Oak Ridge National Labs, NGA). String
found_type Type of foundation (e.g., Crawl, Basement, Slab, Pier). String
found_ht Foundation height of the structure in feet from the ground elevation. Double
num_story The number of stories of the structure. Double
val_struct Value in dollars of the structure. The base NSI estimates depreciated replacement value. Double
val_cont Value in dollars of the contents of the structure. Double
val_vehic Value in dollars of the cars at the structure. Double
med_yr_blt Median year built of structures within the Census Block. Integer
pop2amu65 Population at night for people under the age of 65. Integer
pop2amo65 Population at night for people over the age of 65. Integer
pop2pmu65 Population during the day for people under the age of 65. Integer
pop2pmo65 Population during the day for people over the age of 65. Integer
students Number of students attending the school as estimated by NCES data. Integer
o65disable Percent of the county population over the age of 65 with an ambulatory disability. Double
u65siable Percent of the county population under the age of 65 with an ambulatory disability. Double
firmzone Estimated 2021 flood zone for the structure. String
grnd_elv_m Ground elevation (in meters, NAVD88) at the structure. Double
ground_elv Ground elevation (in feet, NAVD88) at the structure. Double

Structure Processing and Valuation

The National Structure Inventory (NSI) involves several key processes for managing and analyzing structures:

  • Structure Placement and Aggregation: Initially, structure locations are based on source data such as parcel centroids or business addresses. The NSI Generator refines these locations by aligning structures with building footprints within the same parcel. Commercial structures outside their original parcel are relocated based on distance and use code similarity. Structures are placed in unpaired footprints until all footprints are matched. Stacked structures are partially or completely merged based on their occupancy type, with residential units combined as multi-family structures if stacked. Commercial structures are merged only if they share the same occupancy type and similar characteristics, like number of stories and construction material.

  • Population Distribution: The NSI-2022 estimates population levels for 2020 using data from 2010 block information and 2020 county data. This population is distributed to structures according to housing units and block-level estimates. For commercial structures, worker population estimates are derived from the U.S. Census Bureau’s LEHD database.

  • Structure Valuation: Depreciated replacement values for structures are estimated based on a dollar per square foot metric, with depreciation at 1% per year for the first 20 years. Content values are calculated using specific ratios tied to occupancy types.

Occupancy Type

Occupancy types help determine structure valuation and damage criteria. They are based on FEMA definitions with further classification.

The table below shows occupancy types and their content-to-structure value ratios

Damage Category Occupancy Type Name Description Content to Structure Value Ratio
Residential RES1-1SNB Single Family Residential, 1 story, no basement 0.5
Residential RES1-1SWB Single Family Residential, 1 story, with basement 0.5
Residential RES1-2SNB Single Family Residential, 2 story, no basement 0.5
Residential RES1-2SWB Single Family Residential, 2 story, with basement 0.5
Residential RES1-3SNB Single Family Residential, 3 story, no basement 0.5
Residential RES1-3SWB Single Family Residential, 3 story, with basement 0.5
Residential RES1-SLNB Single Family Residential, split-level, no basement 0.5
Residential RES1-SLWB Single Family Residential, split-level, with basement 0.5
Residential RES2 Manufactured Home 0.5
Residential RES3A Multi-Family housing 2 units 0.5
Residential RES3B Multi-Family housing 3-4 units 0.5
Residential RES3C Multi-Family housing 5-10 units 0.5
Residential RES3D Multi-Family housing 10-19 units 0.5
Residential RES3E Multi-Family housing 20-50 units 0.5
Residential RES3F Multi-Family housing 50 plus units 0.5
Commercial COM1 Light Commercial, Office, Retail 1.0
Commercial COM2 General Commercial 1.0
Commercial COM3 Heavy Commercial, Manufacturing 1.0
Commercial COM4 Industrial 1.0
Public PUB1 Institutional 1.0
Public PUB2 Education 1.0
Public PUB3 Healthcare 1.0
Public PUB4 Government 1.0

Main Data Sources

The table contains main data sources of data

Source Database Dataset Description
HAZUS Bndrygbs.mdb hzCensusBlock Provides the structure building schemes and block type.
flSchemeCoastal, flSchemeRiverine, flSchemeGLakes Provides information on foundation type and height.
MSH.mdb flGenBldgScheme Provides the construction type distributions and NFIP entry year for structures.
USACE NSI 2015 Base layer Used in any Census Block that lacks ESRI or CoreLogic data.
Homeland Infrastructure Foundation-Level Data Lightbox County Level Data Parcel polygons and associated data tables; used for initial spatial location and occupancy type, and may influence structure attributes (square feet, foundation type, etc) of single-family structures.
Nursing Home Point data indicating the presence of a nursing home and its number of beds.
Hospital Point data indicating the presence of a hospital and its number of beds.
Mobile Home Point data indicating the presence of a mobile home park and the number of units associated with the park (either exact units, or a range).
Map Building Layer Nationwide building footprint parcel. Largely restricted to central business districts. Often indicating the height of the building to the nearest meter. Used to improve structure locations, square foot estimates and number of stories estimates.
Esri Business Layer InfoGroup Provides initial structure location; NAICS code informs occupancy type and the number of employee field influences population weighting and square footage estimates.
Microsoft Building Footprints State level polygons Paired with parcel polygons to improve structure location and to inform structure aggregation and square footage estimates.
FEMA Geospatial Resource Center USA Structures State level polygons Includes both ORNL and NGA generated footprint polygons. Paired with parcel polygons to improve structure location and to inform structure aggregation and square footage estimates. NGA based footprints include heights in meters and help inform number of stories estimates.
U.S. Census Bureau American Community Survey Population, Demographics Informs population growth estimates, disability rates, and age distribution.
Characteristics of New Housing Annual, Various Provides structure characteristic data such as number of stories and square feet.
Longitudinal Employer-Household Dynamic Database Population Data Contains worker counts by origin and destination census blocks. Used to decrease residential populations (primarily in the day) and to create a population pool for commercial workers.
NCES Schools Database School Data Contains the locations of schools, number of teachers and students per school.
U.S. Geological Survey National Elevation Dataset 10 Meter Dataset Provides raster ground elevation data.

Citation

U.S. Army Corps of Engineers (Year). National Structure Inventory (NSI) Base Data. U.S. Army Corps of Engineers. URL or DOI.

nsi

Earth Engine Snippet

The datasets are available by state using the two alphabet state abbreviation for example, for WYOMING (WY)

var nsi_wy = ee.FeatureCollection('projects/sat-io/open-datasets/NSI/nsi_2022_WY');

Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/NSI

License

The National Structure Inventory (NSI) from the U.S. Army Corps of Engineers (USACE) has a licensing structure that allows for public access to its primary fields, as these fields are curated to have less restrictive license agreements.

Provided by: USACE

Curated in GEE by: Samapriya Roy

Keywords: Buildings, Structures Inventory, US

Last updated: 2024-08-07

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