Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Darlington County, SC
Series ID MHICIUBSC45031A052NCEN
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 3:11 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 23506
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27154
1994-01-01 .
1995-01-01 30673
1996-01-01 .
1997-01-01 31718
1998-01-01 32060
1999-01-01 31568
2000-01-01 33813
2001-01-01 32880
2002-01-01 32967
2003-01-01 33455
2004-01-01 34068
2005-01-01 36036
2006-01-01 38201
2007-01-01 41781
2008-01-01 40218
2009-01-01 36318
2010-01-01 36305
2011-01-01 39141
2012-01-01 36763
2013-01-01 37090
2014-01-01 38508
2015-01-01 40122
2016-01-01 40652
2017-01-01 42435
2018-01-01 40493
2019-01-01 47665
2020-01-01 47760
2021-01-01 50834
2022-01-01 54551
2023-01-01 51053

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