Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Davidson County, NC
Series ID MHICIUBNC37057A052NCEN
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 28214
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32997
1994-01-01 .
1995-01-01 35931
1996-01-01 .
1997-01-01 38982
1998-01-01 41436
1999-01-01 40617
2000-01-01 43070
2001-01-01 41661
2002-01-01 41221
2003-01-01 41605
2004-01-01 42308
2005-01-01 42577
2006-01-01 45610
2007-01-01 46358
2008-01-01 46933
2009-01-01 45877
2010-01-01 42768
2011-01-01 44466
2012-01-01 46255
2013-01-01 42834
2014-01-01 46129
2015-01-01 49145
2016-01-01 48689
2017-01-01 50358
2018-01-01 51333
2019-01-01 58388
2020-01-01 61997
2021-01-01 56868
2022-01-01 67278

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