Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Beaufort County, NC
Series ID MHICILBNC37013A052NCEN
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 1:11 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 18218
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22279
1994-01-01 .
1995-01-01 22884
1996-01-01 .
1997-01-01 25529
1998-01-01 26495
1999-01-01 28002
2000-01-01 29532
2001-01-01 28796
2002-01-01 28743
2003-01-01 30196
2004-01-01 30971
2005-01-01 32161
2006-01-01 33276
2007-01-01 34387
2008-01-01 36029
2009-01-01 35675
2010-01-01 35376
2011-01-01 34887
2012-01-01 35568
2013-01-01 35884
2014-01-01 37640
2015-01-01 38448
2016-01-01 38198
2017-01-01 38885
2018-01-01 42615
2019-01-01 45611
2020-01-01 45031
2021-01-01 45072
2022-01-01 48991

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