Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chatham County, NC
Series ID MHICILBNC37037A052NCEN
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 1:54 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 24650
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29041
1994-01-01 .
1995-01-01 33327
1996-01-01 .
1997-01-01 38586
1998-01-01 41755
1999-01-01 39689
2000-01-01 41129
2001-01-01 41227
2002-01-01 41817
2003-01-01 41548
2004-01-01 42859
2005-01-01 45324
2006-01-01 45954
2007-01-01 49194
2008-01-01 53349
2009-01-01 53536
2010-01-01 50291
2011-01-01 49445
2012-01-01 51423
2013-01-01 53768
2014-01-01 52366
2015-01-01 54106
2016-01-01 59055
2017-01-01 57687
2018-01-01 68568
2019-01-01 64704
2020-01-01 66537
2021-01-01 75047
2022-01-01 76050

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