Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lynchburg City, VA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lynchburg City, VA
Series ID MHICILBVA51680A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2023-01-01
Last Updated 2024-12-20 2:32 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
1993-01-01 24666
1994-01-01 .
1995-01-01 25188
1996-01-01 .
1997-01-01 25982
1998-01-01 27520
1999-01-01 29571
2000-01-01 30933
2001-01-01 29889
2002-01-01 29197
2003-01-01 30048
2004-01-01 31015
2005-01-01 32639
2006-01-01 33625
2007-01-01 33795
2008-01-01 35954
2009-01-01 35653
2010-01-01 33842
2011-01-01 33945
2012-01-01 34894
2013-01-01 37690
2014-01-01 37473
2015-01-01 37308
2016-01-01 38192
2017-01-01 40656
2018-01-01 39824
2019-01-01 46565
2020-01-01 51163
2021-01-01 46985
2022-01-01 46535
2023-01-01 53704

Subscribe to the FRED newsletter


Follow us

Back to Top