Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Northumberland County, PA
Series ID MHICIUBPA42097A052NCEN
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 1:51 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 24902
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28293
1994-01-01 .
1995-01-01 30498
1996-01-01 .
1997-01-01 33891
1998-01-01 35353
1999-01-01 34122
2000-01-01 35237
2001-01-01 34216
2002-01-01 34893
2003-01-01 35963
2004-01-01 37150
2005-01-01 37478
2006-01-01 38295
2007-01-01 39022
2008-01-01 42080
2009-01-01 40155
2010-01-01 38481
2011-01-01 41792
2012-01-01 42839
2013-01-01 43093
2014-01-01 42814
2015-01-01 47006
2016-01-01 49270
2017-01-01 48802
2018-01-01 50875
2019-01-01 51285
2020-01-01 52316
2021-01-01 53224
2022-01-01 62210

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