Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Northumberland County, VA
Series ID MHICILBVA51133A052NCEN
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 19567
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22302
1994-01-01 .
1995-01-01 25422
1996-01-01 .
1997-01-01 27786
1998-01-01 30104
1999-01-01 33412
2000-01-01 34850
2001-01-01 34294
2002-01-01 34348
2003-01-01 35704
2004-01-01 37681
2005-01-01 38182
2006-01-01 40302
2007-01-01 40576
2008-01-01 42786
2009-01-01 50314
2010-01-01 42481
2011-01-01 42039
2012-01-01 43063
2013-01-01 44787
2014-01-01 46463
2015-01-01 47349
2016-01-01 48034
2017-01-01 47700
2018-01-01 49523
2019-01-01 53960
2020-01-01 51705
2021-01-01 55576
2022-01-01 59218

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