Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, WV

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, WV
Series ID MHICILBWV54023A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 17854
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22499
1994-01-01 .
1995-01-01 23839
1996-01-01 .
1997-01-01 24715
1998-01-01 25578
1999-01-01 27113
2000-01-01 28121
2001-01-01 28222
2002-01-01 28545
2003-01-01 30002
2004-01-01 30356
2005-01-01 29402
2006-01-01 30185
2007-01-01 33307
2008-01-01 32460
2009-01-01 32655
2010-01-01 32980
2011-01-01 34563
2012-01-01 34986
2013-01-01 34821
2014-01-01 38273
2015-01-01 34474
2016-01-01 35214
2017-01-01 36684
2018-01-01 37663
2019-01-01 42724
2020-01-01 39116
2021-01-01 41562
2022-01-01 53959
2023-01-01 46375

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