Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Caswell County, NC
Series ID MHICIUBNC37033A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:01 AM 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 24401
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27809
1994-01-01 .
1995-01-01 32010
1996-01-01 .
1997-01-01 34247
1998-01-01 35937
1999-01-01 35646
2000-01-01 38052
2001-01-01 36753
2002-01-01 36462
2003-01-01 36303
2004-01-01 36379
2005-01-01 39552
2006-01-01 41088
2007-01-01 40412
2008-01-01 43100
2009-01-01 37039
2010-01-01 39296
2011-01-01 41989
2012-01-01 43183
2013-01-01 40390
2014-01-01 46360
2015-01-01 43832
2016-01-01 43648
2017-01-01 49316
2018-01-01 49748
2019-01-01 55927
2020-01-01 54480
2021-01-01 56140
2022-01-01 60079
2023-01-01 64308

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