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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caldwell County, NC
Series ID MHICILBNC37027A052NCEN
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 22168
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26114
1994-01-01 .
1995-01-01 27447
1996-01-01 .
1997-01-01 29763
1998-01-01 31570
1999-01-01 32669
2000-01-01 34113
2001-01-01 33151
2002-01-01 33190
2003-01-01 33854
2004-01-01 34493
2005-01-01 34940
2006-01-01 33780
2007-01-01 36428
2008-01-01 37432
2009-01-01 32605
2010-01-01 34217
2011-01-01 32675
2012-01-01 32270
2013-01-01 32318
2014-01-01 35764
2015-01-01 37010
2016-01-01 36020
2017-01-01 41239
2018-01-01 40396
2019-01-01 45254
2020-01-01 44446
2021-01-01 40826
2022-01-01 48730

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