Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brooke County, WV
Series ID MHICILBWV54009A052NCEN
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 23523
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27026
1994-01-01 .
1995-01-01 28349
1996-01-01 .
1997-01-01 29478
1998-01-01 30390
1999-01-01 30407
2000-01-01 31132
2001-01-01 30842
2002-01-01 31453
2003-01-01 32796
2004-01-01 33533
2005-01-01 34023
2006-01-01 34364
2007-01-01 36044
2008-01-01 39280
2009-01-01 35050
2010-01-01 35054
2011-01-01 37723
2012-01-01 36534
2013-01-01 40349
2014-01-01 39329
2015-01-01 41193
2016-01-01 41648
2017-01-01 46919
2018-01-01 43453
2019-01-01 46119
2020-01-01 42857
2021-01-01 46129
2022-01-01 57304
2023-01-01 45489

Subscribe to the FRED newsletter


Follow us

Back to Top