Big Escambia CR at Sardine BR NR Stanley Crossroad - 02374950

Continuous data

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April 14, 2025 - April 21, 2025

Gage height, feet

Important Data may be provisional

Latest value

1.32 ft

Provisional

Apr 21, 2025

05:30:00 AM CDT

Selected

1.32 ft

Provisional

Apr 21, 2025

05:30:00 AM CDT

Statistics for April 21, 2025 based on 24 years of data

Gage height, ft

low (2023)

1.55 ft

25th percentile

2 ft

median

2.33 ft

75th percentile

2.59 ft

mean

2.34 ft

high (2014)

3.36 ft

Gage height, feet -- continuous data
Time	Result	Approval
2025-04-21T05:30:00.000-05:00	1.32	Provisional
2025-04-21T05:00:00.000-05:00	1.32	Provisional
2025-04-21T04:30:00.000-05:00	1.33	Provisional
2025-04-21T04:00:00.000-05:00	1.32	Provisional
2025-04-21T03:30:00.000-05:00	1.32	Provisional
2025-04-21T03:00:00.000-05:00	1.32	Provisional
2025-04-21T02:30:00.000-05:00	1.32	Provisional
2025-04-21T02:00:00.000-05:00	1.32	Provisional
2025-04-21T01:30:00.000-05:00	1.32	Provisional
2025-04-21T01:00:00.000-05:00	1.32	Provisional
2025-04-21T00:30:00.000-05:00	1.32	Provisional
2025-04-21T00:00:00.000-05:00	1.32	Provisional
2025-04-20T23:30:00.000-05:00	1.32	Provisional
2025-04-20T23:00:00.000-05:00	1.32	Provisional
2025-04-20T22:30:00.000-05:00	1.32	Provisional
2025-04-20T22:00:00.000-05:00	1.32	Provisional

Available data

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Continuous data

2 data types available - data from 2000-05-25 to 2025-04-21

Continuous data are collected via automated sensors installed at a monitoring location.

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Data type

Data date range

Graphed

Gage height, feet

2007-10-01 - 2025-04-21

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Daily median

Data for same time span in prior year

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Discharge, cubic feet per second

2000-05-25 - 2025-04-21

Daily data

2 data types available - data from 2000-05-24 to 2025-04-20

Field measurements - Coming soon

0 data types available

Discrete sample data

4 Observed properties (data types) available - with data from 2000-05-24 to 2005-08-03

18 Sampling activities

Location details and information

Metadata Element	Location Metadata	Metadata Code
Agency	U.S. Geological Survey	USGS
Site identification number	02374950	_n/a
Site name	BIG ESCAMBIA CR AT SARDINE BR NR STANLEY CROSSROAD	_n/a
Site type	Stream	ST
DMS latitude	310746	_n/a
DMS longitude	0872214	_n/a
Decimal latitude	31.12962115	_n/a
Decimal longitude	-87.3705353	_n/a
Latitude-longitude method	Interpolated from MAP.	M
Latitude-longitude accuracy	Accurate to + or - 1 sec.	S
Latitude-longitude datum	North American Datum of 1927	NAD27
Decimal Latitude-longitude datum	North American Datum of 1983	NAD83
District	Alabama	01
State	Alabama	01
County	Escambia County	053
Country	US	_n/a
Land net location description		_n/a
Name of location map		_n/a
Scale of location map		_n/a
Altitude of Gage/land surface		_n/a
Method altitude determined		_n/a
Altitude accuracy		_n/a
Altitude datum		_n/a
Subbasin hydrologic unit	Escambia	03140305
Drainage basin		_n/a
Topographic setting		_n/a
Flags for instruments at site	NNNNYNNNNNNNNNNNNNNNNNNNNNNNNN	_n/a
Date of first construction		_n/a
Date site established or inventoried		_n/a
Drainage area	193 square miles	_n/a
Contributing drainage area	193 square miles	_n/a
Time Zone abbreviation	CST	_n/a
Site honors Daylight Saving Time	Y	_n/a
Data reliability		_n/a
Data-other GW files	NNNNNNNN	_n/a
National aquifer		_n/a
Local aquifer		_n/a
Local aquifer type		_n/a
Well depth		_n/a
Hole depth		_n/a
Source of depth data		_n/a
Project number		_n/a

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Leaflet USGS The National Map: National Boundaries Dataset, 3DEP Elevation Program, Geographic Names Information System, National Hydrography Dataset, National Land Cover Database, National Structures Dataset, and National Transportation Dataset; USGS Global Ecosystems; U.S. Census Bureau TIGER/Line data; USFS Road data; Natural Earth Data; U.S. Department of State HIU; NOAA National Centers for Environmental Information. Data refreshed February, 2025.

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Big Escambia CR at Sardine BR NR Stanley Crossroad - 02374950

Continuous data

Available data

Continuous data

Daily data

Field measurements - Coming soon

Discrete sample data

Location details and information

Monitoring locations with continuous data in last 120 days

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