Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Caroline County, VA
Series ID MHICILBVA51033A052NCEN
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 3:12 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 23621
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28949
1994-01-01 .
1995-01-01 30489
1996-01-01 .
1997-01-01 31895
1998-01-01 34124
1999-01-01 35781
2000-01-01 38306
2001-01-01 37512
2002-01-01 38550
2003-01-01 39219
2004-01-01 41587
2005-01-01 41874
2006-01-01 44874
2007-01-01 46796
2008-01-01 48944
2009-01-01 53311
2010-01-01 48790
2011-01-01 47488
2012-01-01 49696
2013-01-01 52163
2014-01-01 50712
2015-01-01 49188
2016-01-01 50866
2017-01-01 56364
2018-01-01 62351
2019-01-01 59257
2020-01-01 58484
2021-01-01 67445
2022-01-01 63821
2023-01-01 73079

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