Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Newport County, RI
Series ID MHICILBRI44005A052NCEN
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 2:32 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 31554
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36786
1994-01-01 .
1995-01-01 37259
1996-01-01 .
1997-01-01 40819
1998-01-01 43322
1999-01-01 45011
2000-01-01 47884
2001-01-01 47268
2002-01-01 47663
2003-01-01 48572
2004-01-01 51073
2005-01-01 52760
2006-01-01 54285
2007-01-01 58725
2008-01-01 61053
2009-01-01 59670
2010-01-01 62824
2011-01-01 61400
2012-01-01 59216
2013-01-01 63248
2014-01-01 65011
2015-01-01 63639
2016-01-01 69476
2017-01-01 72463
2018-01-01 71366
2019-01-01 76845
2020-01-01 72880
2021-01-01 79092
2022-01-01 87635
2023-01-01 92578

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