Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buena Vista City, VA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buena Vista City, VA
Series ID MHICIUBVA51530A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2023-01-01
Last Updated 2024-12-20 2:31 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
1993-01-01 28008
1994-01-01 .
1995-01-01 31923
1996-01-01 .
1997-01-01 34435
1998-01-01 35363
1999-01-01 34058
2000-01-01 36422
2001-01-01 35286
2002-01-01 35935
2003-01-01 36010
2004-01-01 37244
2005-01-01 42402
2006-01-01 41348
2007-01-01 42314
2008-01-01 43134
2009-01-01 42675
2010-01-01 41198
2011-01-01 34517
2012-01-01 39901
2013-01-01 40586
2014-01-01 42356
2015-01-01 43001
2016-01-01 43224
2017-01-01 47604
2018-01-01 48196
2019-01-01 50265
2020-01-01 56414
2021-01-01 52994
2022-01-01 57021
2023-01-01 60285

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