Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orange County, NC
Series ID MHICIUBNC37135A052NCEN
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 1:51 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 32118
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37937
1994-01-01 .
1995-01-01 40871
1996-01-01 .
1997-01-01 42388
1998-01-01 45160
1999-01-01 45058
2000-01-01 46839
2001-01-01 47331
2002-01-01 47940
2003-01-01 48515
2004-01-01 49681
2005-01-01 48253
2006-01-01 50290
2007-01-01 59085
2008-01-01 59063
2009-01-01 55243
2010-01-01 54611
2011-01-01 60873
2012-01-01 56250
2013-01-01 62431
2014-01-01 64774
2015-01-01 65279
2016-01-01 69665
2017-01-01 73317
2018-01-01 76424
2019-01-01 79006
2020-01-01 88931
2021-01-01 83369
2022-01-01 93847

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