Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chatham County, NC
Series ID MHICIUBNC37037A052NCEN
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 1:52 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 29049
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33447
1994-01-01 .
1995-01-01 39282
1996-01-01 .
1997-01-01 44662
1998-01-01 47876
1999-01-01 45115
2000-01-01 47648
2001-01-01 47267
2002-01-01 47935
2003-01-01 47061
2004-01-01 48537
2005-01-01 52568
2006-01-01 53211
2007-01-01 57133
2008-01-01 62005
2009-01-01 60813
2010-01-01 57625
2011-01-01 57683
2012-01-01 59319
2013-01-01 60194
2014-01-01 61228
2015-01-01 63614
2016-01-01 67551
2017-01-01 69059
2018-01-01 78838
2019-01-01 75812
2020-01-01 82957
2021-01-01 90481
2022-01-01 92982

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