Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, NC

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, NC
Series ID MHICIUBNC37115A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:10 PM 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 21008
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24833
1994-01-01 .
1995-01-01 28962
1996-01-01 .
1997-01-01 30597
1998-01-01 32659
1999-01-01 32322
2000-01-01 34263
2001-01-01 32959
2002-01-01 32751
2003-01-01 33621
2004-01-01 34674
2005-01-01 35848
2006-01-01 38517
2007-01-01 41340
2008-01-01 41698
2009-01-01 39300
2010-01-01 39538
2011-01-01 39949
2012-01-01 41124
2013-01-01 41042
2014-01-01 41989
2015-01-01 40170
2016-01-01 44575
2017-01-01 46153
2018-01-01 49219
2019-01-01 54652
2020-01-01 57088
2021-01-01 57257
2022-01-01 60043

Subscribe to the FRED newsletter


Follow us

Back to Top