Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Newport News City, VA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Newport News City, VA
Series ID MHICILBVA51700A052NCEN
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 26658
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28960
1994-01-01 .
1995-01-01 30006
1996-01-01 .
1997-01-01 31263
1998-01-01 32590
1999-01-01 32808
2000-01-01 34744
2001-01-01 34476
2002-01-01 34908
2003-01-01 36120
2004-01-01 37220
2005-01-01 41243
2006-01-01 41254
2007-01-01 42441
2008-01-01 46673
2009-01-01 46160
2010-01-01 46889
2011-01-01 45806
2012-01-01 44766
2013-01-01 44472
2014-01-01 45608
2015-01-01 45271
2016-01-01 48070
2017-01-01 47135
2018-01-01 47579
2019-01-01 49646
2020-01-01 57276
2021-01-01 55083
2022-01-01 60470
2023-01-01 59503

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