Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Newport County, RI
Series ID MHICIUBRI44005A052NCEN
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 2:05 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 35785
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41016
1994-01-01 .
1995-01-01 42842
1996-01-01 .
1997-01-01 46533
1998-01-01 49035
1999-01-01 51026
2000-01-01 54884
2001-01-01 53618
2002-01-01 54062
2003-01-01 54542
2004-01-01 57379
2005-01-01 61113
2006-01-01 63211
2007-01-01 65368
2008-01-01 70530
2009-01-01 66767
2010-01-01 72038
2011-01-01 70110
2012-01-01 67652
2013-01-01 71334
2014-01-01 73395
2015-01-01 68553
2016-01-01 76076
2017-01-01 81909
2018-01-01 84154
2019-01-01 84879
2020-01-01 89556
2021-01-01 92436
2022-01-01 97955
2023-01-01 107246

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