Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clay County, NC
Series ID MHICILBNC37043A052NCEN
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 16123
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19980
1994-01-01 .
1995-01-01 22580
1996-01-01 .
1997-01-01 23689
1998-01-01 25555
1999-01-01 28491
2000-01-01 29613
2001-01-01 28734
2002-01-01 28972
2003-01-01 29622
2004-01-01 30773
2005-01-01 30999
2006-01-01 32912
2007-01-01 33656
2008-01-01 35007
2009-01-01 36683
2010-01-01 32326
2011-01-01 31788
2012-01-01 33413
2013-01-01 33446
2014-01-01 33355
2015-01-01 35263
2016-01-01 34135
2017-01-01 40163
2018-01-01 38262
2019-01-01 41674
2020-01-01 37041
2021-01-01 45181
2022-01-01 50917

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