Archive for the 2002-12 Diciembre Category

Sun Dec 29, 2002 7:20 am

Posted in 2002-12 Diciembre with tags , , , , , , , , , , on January 25, 2009 by Farid Matuk

Definiciones

 

Hola Javier:

A mi entender el Estado puede producir valores definitivos,
valores preliminares, valores estimados, y valores pronosticados; y
el sector privado valores estimados y valores pronosticados.

Creo que en la actual divisón del trabajo en el Estado Peruano,
al Instituto le compete definitivos y preliminares, mientras a
Finanzas y/o Central le compete estimados y/o pronosticados.

Respecto a los modelos en circulación, ya es de dominio público
la metodología del Instituto (via archivos de hoja de cálculo) para
el denominado PBI mensual.

Creo que podrías aportar el código para la estimación de los
índicadores líderes, no creo que sea importante en que programa lo
corres, pero sería interesante ver los coeficientes y los rezagos.
Aún independientemente de como se hallaron dichos coeficientes y
rezagos.

Un abrazo, Farid

— In MacroPeru@yahoogroups.com, “JAVIER” <jkapsoli@m…> wrote:
>
> y como es que hace el BCR para producir estadisticas de la demanda
> agregada trimestral??
>
> No sera que nuevamente estamos confundiendo ejecucion con
estimacion??
>
> Si es asi reitero lo que pregunte hace una semanas, por que el
INEI o
> el Departamento de Economia de la PUC, de la UP o quien sea no
publican
> sus estimaciones? si no hay un dato real no hay como juzgar cual
> estimacion es mejor.
>
>
> Para la medición del valor agregado existen a la fecha tres
> > métodos. Oferta, Demanda, e Ingreso. Acerca de la Oferta comente
en
> > el Mensaje 2252; mientras en este mensaje comentare sobre
Demanda.
> >
> > Por el lado de la demanda tenemos varios componentes. En el
caso
> > de Comercio Exterior, se necesita identificar los intercambios
de
> > bienes y servicios no financieros. En Yugoslavia, se usó
información
> > de la Policia Fiscal (retenes en las carreteras) para medir el
> > intercambio de bienes entre Serbia y Montenegro, pero habría que
> > averiguar si hay algo semejante en Perú. Quizas los peajes
puedan
> > ayudar.
> >
> > Sobre servicios no financieros es mas complejo, porque los
> > márgenes de comercio y transporte son difíciles de adjudicar
> > espacialmente. Lo único disponible sería la dirección fiscal de
la
> > empresa y partir de ello imputar el valor agregado al
departamento
> > donde el RUC este inscrito.
> >
> > Sobre inversión y consumo público, el SIAF proporciona
> > información del monto asignado y del lugar de cobro del monto.
Para
> > proyectos multi beneficiario departamental (carreteras,
> > hidroeléctricas, etc.) sería necesario establecer un criterio de
> > imputación basado en una medida física (¿kilómetros?,
¿hectáreas?,
> > etc.)
> >
> > Sobre inversión privada, la EEA (Encuesta Económica Anual)
del
> > INEI debiera contar con la información, pero las salvaguardas
> > mencionadas en el mensaje anterior subsisten.
> >
> > Sobre consumo privado, las ENAHO (Encuesta Nacional de
Hogares)
> > si bien tienen precisión departamental no son diseñadas para
medir
> > consumo, estan diseñadas para identificar pobreza. Esto implica
un
> > sesgo hacia consumo de alimentos (sobremuestreandolos) y un
sesgo
> > hacia consumo de durables (submuestreandolos). Y consumo privado
es
> > usualmente entre 75%-80% de la demanda final
> >
> > Farid Matuk
> >
> >
> >
> >
> > To unsubscribe from this group, send an email to:
> > MacroPeru-unsubscribe@egroups.com
> >
> >
> >
> > Your use of Yahoo! Groups is subject to
> http://docs.yahoo.com/info/terms/
> >
> >
> >
>
> —
> NeoMail – Webmail that doesn’t suck… as much.
> http://neomail.sourceforge.net

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Sat Dec 28, 2002 4:59 pm

Posted in 2002-12 Diciembre with tags , , , , , , on January 25, 2009 by Farid Matuk

Valor Agregado Departamental

 

Para la medición del valor agregado existen a la fecha tres
métodos. Oferta, Demanda, e Ingreso. Acerca de la Oferta comente en
el Mensaje 2252; mientras en este mensaje comentare sobre Demanda.

Por el lado de la demanda tenemos varios componentes. En el caso
de Comercio Exterior, se necesita identificar los intercambios de
bienes y servicios no financieros. En Yugoslavia, se usó información
de la Policia Fiscal (retenes en las carreteras) para medir el
intercambio de bienes entre Serbia y Montenegro, pero habría que
averiguar si hay algo semejante en Perú. Quizas los peajes puedan
ayudar.

Sobre servicios no financieros es mas complejo, porque los
márgenes de comercio y transporte son difíciles de adjudicar
espacialmente. Lo único disponible sería la dirección fiscal de la
empresa y partir de ello imputar el valor agregado al departamento
donde el RUC este inscrito.

Sobre inversión y consumo público, el SIAF proporciona
información del monto asignado y del lugar de cobro del monto. Para
proyectos multi beneficiario departamental (carreteras,
hidroeléctricas, etc.) sería necesario establecer un criterio de
imputación basado en una medida física (¿kilómetros?, ¿hectáreas?,
etc.)

Sobre inversión privada, la EEA (Encuesta Económica Anual) del
INEI debiera contar con la información, pero las salvaguardas
mencionadas en el mensaje anterior subsisten.

Sobre consumo privado, las ENAHO (Encuesta Nacional de Hogares)
si bien tienen precisión departamental no son diseñadas para medir
consumo, estan diseñadas para identificar pobreza. Esto implica un
sesgo hacia consumo de alimentos (sobremuestreandolos) y un sesgo
hacia consumo de durables (submuestreandolos). Y consumo privado es
usualmente entre 75%-80% de la demanda final

Farid Matuk

Fri Dec 20, 2002 8:42 pm

Posted in 2002-12 Diciembre with tags , , , , , , , , , on January 25, 2009 by Farid Matuk

¿Qué es de las cuentas regionales?

 

Ante tan amable pregunta, entrego mi tarea (*S*) que la pueden
encontrar en FILES/MATUK.

Como pueden imaginarse algunos, las cuentas departamentales que
nacieron con la base 79, fueron de suma utilidad por muchos
analistas, y se publicaron hasta 1995.

Con la nueva base 94, se presento el problema del universo
planteado numerosas veces. Para repetir la explicación, lo que
tenemos es que para un censo de población se hace previamente un
catastro de campo (calle por calle) a fin de identificar visualmente
que edificaciones lucen usadas como vivienda, en uso exclusivo o no.

En el caso del censo económico del 94, se convocó a quienes
considerasen pertinente, inscribirse en el Instituto, y de esta
manera se construyó el catastro. Como es fácil imaginar, se desconoce
la naturaleza de las omisiones en el catastro, y por lo tanto las
agregaciones pueden ir en cualquier dirección.

Esto se semejante que para un censo de población, se convoque a
los hogares a inscribirse en el Instituto, para luego enviar a los
censistas sólo a los hogares inscritos. No es dificíl imaginar los
errores de este método.

Sobre este catastro, se hizo la base 94, con las limitaciones que
el sano juicio puede concluir. En adición a esto, se hizo tambien
unas cuentas departamentales, en donde el problema de la omisión se
magnifica por ser las unidades de análisis mas pequeñas.

Una alternativa muy común a la falta de catastro de campo, es
tomar un universo administrativo como el tributario (SUNAT) o laboral
(ESSALUD), que si bien tiene omisiones se conoce la naturaleza de las
mismas.

En el caso de ENaHo, se tiene el universo del censo de población
del 93, sustentado en un catastro calle por calle, y partir del 2001,
todas las encuestas a hogares toman como universo el catastro calle
por calle del 99, que arroja un mínimo de 70,000 centros poblados.

En el archivo mencionado en el primer párrafo, se observan los
dominios de las ENaHo. Los dominios departamentales que permitirían
cruzar información de las empresas se suspendió el 96, y recién se
retomó el 2001.

Por ello tenemos como país una brecha en hogares de cinco años
para información departamental, por no decir inexistente a nivel de
empresas.

Farid Matuk

— In MacroPeru@yahoogroups.com, Fernando Aragon <faragon_up@y…>
wrote:
> Acerca de información departamental y el INEI. Qué es
> de las cuentas regionales?
>
>
> — “Farid Matuk <efmatuk@y…>”
> <efmatuk@y…> wrote:
> > Quienes creen que el INEI es una tortuga en la
> > entrega de
> > información, debieran pensar que es una liebre luego
> > de ver la
> > lentitud, o mejor dicho, la rigurosidad del BLS.
> >
> > Aquí el IPC de Lima se publica el primero de cada
> > mes, por ley.
> > Quizas alguien tenga antecedentes, de a quién se le
> > ocurrió que un
> > IPC se puede calcular en antes del cierre del mes. Y
> > los IPC
> > departamentales sin fecha fija.
> >
> > A la luz de los estándares del BLS, creo que que
> > el 15 de cada mes
> > no sería una fecha “lenta” para la entrega del los
> > IPC
> > departamentales en adición de un IPC nacional (nunca
> > elaborado), que
> > sería mas representativo del país, ya que Lima
> > contribuye con 30,000
> > precios y el resto con 40,000.
> >
> > Espero comentarios.
> >
> > Farid Matuk
> >
> > — In MacroPeru@yahoogroups.com, Pavel Hernández B.
> >
> > <phernandez@g…> wrote:
> > >
> >
> ——————————————————————–
> > ——-
> > > For best results, format in 8-pt Courier, and
> > print in landscape. A
> > PDF
> > > version is at
> > http://www.bls.gov/news.release/pdf/cpi.pdf
> > > (requires Adobe Acrobat Reader). For help, email
> > news_service@b…
> > >
> >
> ——————————————————————–
> > ——-
> > >
> > > FOR TECHNICAL INFORMATION:
> > > Patrick C. Jackman (202) 691-7000
> > USDL-02-684
> > > CPI QUICKLINE: (202) 691-6994
> > TRANSMISSION OF
> > > FOR CURRENT AND HISTORICAL
> > MATERIAL IN THIS
> > > INFORMATION: (202) 691-5200
> > RELEASE IS EMBARGOED
> > > MEDIA CONTACT: (202) 691-5902 UNTIL
> > 8:30 A.M. (EST)
> > > INTERNET ADDRESS:
> > Tuesday, December 17,
> > 2002
> > > http://www.bls.gov/cpi/
> > >
> > > CONSUMER PRICE INDEX: NOVEMBER
> > 2002
> > >
> > > The Consumer Price Index for All Urban
> > Consumers (CPI-U) was
> > > unchanged in November, before seasonal
> > adjustment, the Bureau of
> > Labor
> > > Statistics of the U.S. Department of Labor
> > reported today. The
> > November
> > > level of 181.3 (1982-84=100) was 2.2 percent
> > higher than its level
> > in
> > > November 2001.
> > >
> > > The Consumer Price Index for Urban Wage
> > Earners and Clerical
> > Workers
> > > (CPI-W) rose 0.1 percent in November, prior to
> > seasonal
> > adjustment. The
> > > November level of 177.4 was 2.1 percent higher
> > than the index in
> > November
> > > 2001.
> > >
> > > CPI for All Urban Consumers (CPI-U)
> > >
> > > On a seasonally adjusted basis, the CPI-U
> > rose 0.1 percent in
> > > November, following an increase of 0.3 percent in
> > October. The
> > index for
> > > food rose 0.2 percent in November. The index for
> > food at home,
> > which
> > > declined 0.1 percent in October, increased 0.3
> > percent, reflecting
> > upturns
> > > in the indexes for fruits and vegetables and for
> > meats, poultry,
> > fish, and
> > > eggs. Energy costs, which had increased in each
> > of the four
> > preceding
> > > months, declined 0.2 percent in November. Within
> > energy, the
> > index for
> > > petroleum-based energy declined 0.2 percent and
> > the index for
> > energy
> > > services decreased 0.2 percent. Excluding food
> > and energy, the
> > CPI-U rose
> > > 0.2 percent in November, the same as in October.
> > >
> > > Table A. Percent changes in CPI for All Urban
> > Consumers (CPI-U)
> > > Seasonally
> > adjusted Un-
> > >
> > Compound
> > adjusted
> > > Expenditure Changes from preceding
> > month annual rate
> > 12-mos.
> > > Category 2002
> > 3-mos.
> > ended ended
> > > May June July Aug. Sep. Oct.
> > Nov. Nov. ’02
> > Nov.’02
> > > All Items .0 .1 .1 .3 .2 .3
> > .1
> > 2.2 2.2
> > > Food and beverages -.2 .1 .2 -.1 .2 .1
> > .3
> > 2.3 1.3
> > > Housing .3 .1 .1 .3 .1 .3
> > .2
> > 2.2 2.4
> > > Apparel -.6 -.9 -1.0 1.1 .1 .0
> > -.4 –
> > 1.3 -2.0
> > > Transportation -.4 .1 .3 .4 .3 .6
> > -.1
> > 3.2 3.3
> > > Medical care .5 .2 .7 .2 .3 .6
> > .6
> > 6.1 5.0
> > > Recreation -.1 -.3 .1 .1 .0 .3
> > .0
> > 1.1 .9
> > > Education and
> > > communication .6 .3 .7 .7 -.2 .0
> > .0 –
> > .7 2.1
> > > Other goods and
> > > services -.5 1.0 .0 .5 .4 -.5
> > .1 –
> > .4 2.2
> > > Special Indexes
> > > Energy -.7 .0 .4 .6 .7 1.9
> > -.2
> > 9.8 8.0
> > > Food -.2 .0 .2 -.1 .2 .1
> > .2
> > 2.1 1.3
> > > All Items less
> > > food and energy .2 .1 .2 .3 .1 .2
> > .2
> > 1.7 2.0
> > >
> > >
> > > See page 3 and table 7 for the release of the
> > Chained Consumer
> > Price Index
> > > for All Urban Consumers (C-CPI-U), a new
> > supplemental index of
> > consumer
> > > price change.
> > >
> > > During the first 11 months of 2002, the
> > CPI-U rose at a 2.6
> > percent
> > > seasonally adjusted annual rate (SAAR). This
> > compares with an
> > increase of
> > > 1.6 percent for all of 2001. The index for
> > energy, which declined
> > 13.0
> > > percent in 2001, increased at a 12.5 percent SAAR
> > in the first 11
> > months
> > > of 2002. Petroleum-based energy costs increased
> > at a 28.2 percent
> > annual
> > > rate while charges for energy services showed no
> > change. The food
> >
> === message truncated ===
>
>
> __________________________________________________
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Thu Dec 19, 2002 6:39 am

Posted in 2002-12 Diciembre with tags , , , , , , , , , on January 25, 2009 by Farid Matuk

PBI (varianza) 2da Parte

 

En la página del Instituto, en la sección correspondiente al
último reporte de producción, se puede encontrar un nuevo archivo de
hoja de cálculo con los “PBI mensuales” desde 1990 a 2001 con base
1994.

Lo que se halla es una matriz rectangular en banda (quienes
recuerden el MatOp, recordaran una opción de matrices en banda),
donde en cada fila figuran las revisiones del “PBI mensual” en sus
sucesivas revisiones hasta su última publicación; que no implica su
última modificación.

Un estudio básico a efectuar es uno de varianzas de
actualizaciones por mes. Quienes hallan estudiado (o tengan) la
segunda edición de Johnston, deben recordar (o buscar) un pie de
página citando un trabajo de John Kuiper (Católica o Central, quizas
se acuerden de él) sobre varianzas en reportes preliminares de
variables económicas.

Creo que esta publicación culmina una etapa de revisión del “PBI
mensual”, y abre una para los índices de volumen sectoriales para el
período previo a 1990.

Farid Matuk

— In MacroPeru@yahoogroups.com, “Farid Matuk <efmatuk@y…>”
<efmatuk@y…> wrote:
> Quienes vean la página del Instituto podrán hallar la serie
desde
> 1990, y al mayor nivel de desagregación posible del “PBI mensual”;
> así como de las series que lo respaldan.
>
> Un ejercicio interesante sería evaluar las varianzas de dichas
> series y construir la pruebas de hipótesis correspondientes. Hasta
> donde recuerdo, no he visto un trabajo semejante, pero el material
> esta disponible.
>
> Otra serie es una hoja de cálculo que muestra el proceso de
> actualización del “PBI mensual”. En este caso se puede tambien
hacer
> un análisis de varianza transversal.
>
> Farid Matuk
>
> — In MacroPeru@yahoogroups.com, “Juan Carlos Odar Zagaceta”
> <jodar@b…> wrote:
> > Mario
> >
> > Si 1 día de 22 es 4.5%, y aún considerando que efectivamente no
se
> paralizan todas las actividades, podrías explicarnos porqué “este
> efecto seria muy reducido (menos de 1% del PBI) y
> > no alrededor de 3%”? En todo caso, si demuestras eso lo que está
> pasando es una verdadera desaceleración y entonces las
perspectivas
> para el próximo año se deteriorarían.
> >
> > Saludos!
> >
> > Juan Carlos
> >
> > —–Mensaje original—–
> > De: Mario Velásquez [mailto:a19980916@p…]
> > Enviado el: 13/12/2002 08:48 AM
> > Para: Juan Carlos Odar Zagaceta
> > CC: MacroPeru@yahoogroups.com
> > Asunto: RE: [MacroPeru] El PBI de Octubre
> >
> >
> >
> > !Saludos a todos!
> >
> > Considero que el dia que le falta a octubre del 2002 en relacion
a
> octubre del
> > 2001 no es razon suficiente como para justificar que el PBI
caiga
> en 3 puntos
> > porcentuales. En el 2001 tuvimos 22 dias habiles mientras que en
el
> 2002
> > tuvimos 21 dias habiles. En consecuencia considero que este dia
> \”perdido\” no
> > puede estar representando 3% del PBI. Creo por otro lado, que
en
> este caso no
> > es aplicable el fenomeno denominado \”semana santa\” que tuvimos
> hace unos meses
> > y que nos altero significativamente el PBI debido a que solo se
> trata de 1 dia.
> > En el peor de los casos este efecto seria muy reducido (menos de
1%
> del PBI) y
> > no alrededor de 3%
> >
> > Sobre las razones de la caida, puede ser que nuestro \”PBI
> mensual\” este
> > empezando a mostrar sus falancias y limitaciones?!
> >
> > Saludos
> >
> > Mario Velásquez
> > Economía- PUCP
> >
> >
> > —— Mensaje original ——-
> > De : jodar@b…
> > Para : MacroPeru@yahoogroups.com
> > Fecha : Fri, 13 Dec 2002 13:24:11 -0500
> > Asunto : RE: [MacroPeru] El PBI de Octubre
> > >Bruno, listeros
> > >
> > >El mes pasado el crecimiento de 7.3% nos sorprendió a todos
> (excepto al MEF),
> > incluso al BCR. Pero esta vez, como dice Gestión, \”los
analistas
> económicos que
> > habitualmente encuesta el Banco Central de Reserva acertaron\”
(y
> el MEF no,
> > aunque sí captó la desaceleración). Creo que tienes razón en lo
de
> la
> > volatilidad, pero no creo que se deba solo a la pesca, ya que la
> parte no
> > primaria también se ha desacelerado. Me atrevo a decir que el
menor
> dinamismo
> > de octubre es consecuencia directa de que haya habido un feriado
> más (el 7 de
> > octubre). Lo que a estas alturas del partido lamentablemente no
> queda claro es
> > el crecimiento de noviembre, ya que si bien el Indice del MEF
> estima un fuerte
> > crecimiento, el empleo en Lima (que se correlaciona bastante
bien
> con el PBI)
> > se ha desacelerado significativamente.
> > >
> > >Saludos!
> > >
> > > Juan Carlos
> > >
> > >—–Mensaje original—–
> > >De: Bruno Seminario <lbseminario@y…>
> > >[mailto:lbseminario@y…]
> > >Enviado el: 13/12/2002 12:42 PM
> > >Para: MacroPeru@yahoogroups.com
> > >Asunto: [MacroPeru] El PBI de Octubre
> > >
> > >
> > >El INEI acaba de publicar la data de Octubre. El resultado
> implica,
> > >si es cierto, una desaceleracion importante el ritmo de la
> > >expansion . La tasa de crecimiento se reduce en casi 3 puntos
> > >porcentuales. Debo confesar que me ha tomada por sorpresa este
> > >resultado. El indicador mensula de produccion esta maifestando
> > >fluctuaciones de baja alta frecuencia que no posia antes: La
> > >varianza mensula del indice parece haber incrementando . ¿Por
que
> se
> > >produce este resultado? ¿Hay algo malo en los metodos de
> > >eleaboracion del incice o estas fluctuaciones estan reflejando
un
> > >fenómeno real? Uno, por razones terorica, podria esperar que la
> data
> > >este mas correlacionada ya que las variables reales tienen un
> fuerte
> > >grado de inercia. Los resulados peruanos implican osiclaciones
que
> > >seria dificil encontar en otro pais. ¿Quien puede explicarme lo
> que
> > >paso en octubre? Un examen preliminar de los datos sugiere que
el
> > >sector primario es el responsable del resulatdo. ¿Tendremos en
> > >noviembre nuevamente una tasa de 7 por ciento?
> > >
> > >Bruno
> > >
> > >
> > >To unsubscribe from this group, send an email to:
> > >MacroPeru-unsubscribe@egroups.com
> > >
> > >
> > >
> > >Your use of Yahoo! Groups is subject to
> http://docs.yahoo.com/info/terms/
> > >
> > >
> > >To unsubscribe from this group, send an email to:
> > >MacroPeru-unsubscribe@egroups.com
> > >
> > >
> > >
> > >Your use of Yahoo! Groups is subject to
> http://docs.yahoo.com/info/terms/
> > >
> > >

Tue Dec 17, 2002 7:25 pm

Posted in 2002-12 Diciembre with tags , , , , , , , , , , , , , on January 25, 2009 by Farid Matuk

¿ Lento INEI ?
Quienes creen que el INEI es una tortuga en la entrega de
información, debieran pensar que es una liebre luego de ver la
lentitud, o mejor dicho, la rigurosidad del BLS.

Aquí el IPC de Lima se publica el primero de cada mes, por ley.
Quizas alguien tenga antecedentes, de a quién se le ocurrió que un
IPC se puede calcular en antes del cierre del mes. Y los IPC
departamentales sin fecha fija.

A la luz de los estándares del BLS, creo que que el 15 de cada mes
no sería una fecha “lenta” para la entrega del los IPC
departamentales en adición de un IPC nacional (nunca elaborado), que
sería mas representativo del país, ya que Lima contribuye con 30,000
precios y el resto con 40,000.

Espero comentarios.

Farid Matuk

— In MacroPeru@yahoogroups.com, Pavel Hernández B.
<phernandez@g…> wrote:
> ——————————————————————–
——-
> For best results, format in 8-pt Courier, and print in landscape. A
PDF
> version is at http://www.bls.gov/news.release/pdf/cpi.pdf
> (requires Adobe Acrobat Reader). For help, email news_service@b…
> ——————————————————————–
——-
>
> FOR TECHNICAL INFORMATION:
> Patrick C. Jackman (202) 691-7000 USDL-02-684
> CPI QUICKLINE: (202) 691-6994 TRANSMISSION OF
> FOR CURRENT AND HISTORICAL MATERIAL IN THIS
> INFORMATION: (202) 691-5200 RELEASE IS EMBARGOED
> MEDIA CONTACT: (202) 691-5902 UNTIL 8:30 A.M. (EST)
> INTERNET ADDRESS: Tuesday, December 17,
2002
> http://www.bls.gov/cpi/
>
> CONSUMER PRICE INDEX: NOVEMBER 2002
>
> The Consumer Price Index for All Urban Consumers (CPI-U) was
> unchanged in November, before seasonal adjustment, the Bureau of
Labor
> Statistics of the U.S. Department of Labor reported today. The
November
> level of 181.3 (1982-84=100) was 2.2 percent higher than its level
in
> November 2001.
>
> The Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W) rose 0.1 percent in November, prior to seasonal
adjustment. The
> November level of 177.4 was 2.1 percent higher than the index in
November
> 2001.
>
> CPI for All Urban Consumers (CPI-U)
>
> On a seasonally adjusted basis, the CPI-U rose 0.1 percent in
> November, following an increase of 0.3 percent in October. The
index for
> food rose 0.2 percent in November. The index for food at home,
which
> declined 0.1 percent in October, increased 0.3 percent, reflecting
upturns
> in the indexes for fruits and vegetables and for meats, poultry,
fish, and
> eggs. Energy costs, which had increased in each of the four
preceding
> months, declined 0.2 percent in November. Within energy, the
index for
> petroleum-based energy declined 0.2 percent and the index for
energy
> services decreased 0.2 percent. Excluding food and energy, the
CPI-U rose
> 0.2 percent in November, the same as in October.
>
> Table A. Percent changes in CPI for All Urban Consumers (CPI-U)
> Seasonally
adjusted Un-
> Compound
adjusted
> Expenditure Changes from preceding month annual rate
12-mos.
> Category 2002 3-mos.
ended ended
> May June July Aug. Sep. Oct. Nov. Nov. ’02
Nov.’02
> All Items .0 .1 .1 .3 .2 .3 .1
2.2 2.2
> Food and beverages -.2 .1 .2 -.1 .2 .1 .3
2.3 1.3
> Housing .3 .1 .1 .3 .1 .3 .2
2.2 2.4
> Apparel -.6 -.9 -1.0 1.1 .1 .0 -.4 –
1.3 -2.0
> Transportation -.4 .1 .3 .4 .3 .6 -.1
3.2 3.3
> Medical care .5 .2 .7 .2 .3 .6 .6
6.1 5.0
> Recreation -.1 -.3 .1 .1 .0 .3 .0
1.1 .9
> Education and
> communication .6 .3 .7 .7 -.2 .0 .0 –
.7 2.1
> Other goods and
> services -.5 1.0 .0 .5 .4 -.5 .1 –
.4 2.2
> Special Indexes
> Energy -.7 .0 .4 .6 .7 1.9 -.2
9.8 8.0
> Food -.2 .0 .2 -.1 .2 .1 .2
2.1 1.3
> All Items less
> food and energy .2 .1 .2 .3 .1 .2 .2
1.7 2.0
>
>
> See page 3 and table 7 for the release of the Chained Consumer
Price Index
> for All Urban Consumers (C-CPI-U), a new supplemental index of
consumer
> price change.
>
> During the first 11 months of 2002, the CPI-U rose at a 2.6
percent
> seasonally adjusted annual rate (SAAR). This compares with an
increase of
> 1.6 percent for all of 2001. The index for energy, which declined
13.0
> percent in 2001, increased at a 12.5 percent SAAR in the first 11
months
> of 2002. Petroleum-based energy costs increased at a 28.2 percent
annual
> rate while charges for energy services showed no change. The food
index
> has increased at a 1.3 percent SAAR thus far this year, following
a 2.8
> percent rise for all of 2001. Excluding food and energy, the CPI-U
> advanced at a 2.1 percent SAAR in the first 11 months, following a
2.7
> percent rise in all of 2001.
>
> The food and beverages index increased 0.3 percent in
November. The
> index for food at home, which declined 0.1 percent in October, also
> increased 0.3 percent in November, reflecting upturns in the
indexes for
> fruits and vegetables and for meats, poultry, fish, and eggs. The
index
> for fruits and vegetables increased 1.0 percent, following a 0.9
percent
> decline in October. In November, the indexes for fresh vegetables
and
> fresh fruits rose 2.1 and 1.4 percent, respectively, while the
index for
> processed fruits and vegetables decreased 1.7 percent. The index
for
> meats, poultry, fish, and eggs, which declined 0.4 percent in
October,
> increased 0.6 percent in November. Within the index for meats,
poultry,
> fish, and eggs, the indexes for pork, poultry, fish and seafood,
and eggs
> each turned up in November. The index for beef, which rose 0.1
percent in
> October, increased 0.4 percent in November. Poultry prices
advanced in
> November despite a large decline in prices for turkey. The
indexes for
> dairy products, for other food at home, and for cereal and bakery
products
> rose 0.4, 0.3, and 0.1 percent, respectively. The index for
nonalcoholic
> beverages decreased 0.7 percent, reflecting a drop in prices for
> carbonated drinks and noncarbonated juices and drinks. The other
two
> components of the food and beverages index, food away from home and
> alcoholic beverages, increased 0.1 and 0.2 percent, respectively.
>
> The index for housing rose 0.2 percent in November. Shelter
costs
> increased 0.3 percent in November, following a 0.2 percent rise in
> October. Within shelter, the index for rent rose 0.3 percent,
owners’
> equivalent rent increased 0.1 percent, and the index for lodging
away from
> home advanced 0.7 percent. (Prior to seasonal adjustment, the
index for
> lodging away from home declined 3.2 percent.) The index for fuels
and
> utilities was unchanged in November. The index for fuel oil
decreased 0.2
> percent in November, but prices for fuel oil have risen 10.9
percent in
> the first 11 months of 2002. In November, the indexes for
electricity and
> for natural gas declined 0.3 and 0.1 percent, respectively.
(Prior to
> seasonal adjustment, fuel oil prices rose 2.1 percent and charges
for
> natural gas rose 4.5 percent, while charges for electricity fell
2.9
> percent.) The index for household furnishings and operations
declined 0.1
> percent in November.
>
> The transportation index, which increased 0.6 percent in
October,
> declined 0.1 percent in November. The index for gasoline
registered its
> first decline since May–down 0.4 percent in November after
increasing 3.8
> percent in October. Gasoline prices have risen 29.8 percent thus
far this
> year, but remain 15.2 percent below their peak level in May 2001.
The
> index for new vehicles turned down in November after registering
increases
> of 0.5 and 0.4 percent in September and October, respectively.
During the
> last 12 months, new vehicle prices have declined 1.5 percent. (As
of
> November, about 55 percent of the new vehicle sample was
represented by
> 2003 models. The 2003 models will continue to be phased in, with
> appropriate adjustments for quality change, over the next several
months
> as they replace old models at dealerships. For a report on quality
changes
> for the 2003 vehicles represented in the Producer Price Index
sample, see
> news release USDL-02-634, dated November 15, 2002.) The index for
used
> cars and trucks declined 1.4 percent in November to a level 5.5
percent
> lower than in November 2001. Airline fares declined for the third
> consecutive month–down 0.8 percent in November–and are 3.2
percent lower
> than a year ago.
>
> The index for apparel registered its first decline since July-
-down
> 0.4 percent in November. (Prior to seasonal adjustment, apparel
prices
> fell 1.0 percent, reflecting discounting of prices for women’s
wear.)
>
> The medical care index rose 0.6 percent in November to a
level 5.0
> percent above its level a year ago. The index for medical care
> commodities–prescription drugs, nonprescription drugs, and medical
> supplies–increased 0.4 percent. The index for medical care
services rose
> 0.6 percent in November. Charges for professional services rose
0.3
> percent and those for hospital and related services increased 1.2
percent.
>
> The index for recreation, which rose 0.3 percent in October,
was
> unchanged in November. Continued declines in the indexes for pets
and pet
> products, for photography, and for toys, coupled with a smaller
increase
> in the index for admissions to movies, theaters, concerts, and
sporting
> events, were responsible for the deceleration in this major group.
>
> In November, the index for education and communication was
unchanged
> for the second consecutive month. The education index rose 0.4
percent,
> reflecting an increase in the index for college textbooks. The
index for
> communication costs declined 0.4 percent, reflecting decreases in
the
> indexes for telephone services and for personal computers and
peripheral
> equipment–down 0.1 and 3.4 percent, respectively.
>
> The index for other goods and services, which declined 0.5
percent in
> October, increased 0.1 percent in November. Prices for cigarettes
were
> unchanged in November, following a 3.3 percent decline in October.
>
> CPI for Urban Wage Earners and Clerical Workers (CPI-W)
>
> On a seasonally adjusted basis, the CPI for Urban Wage
Earners and
> Clerical Workers increased 0.1 percent in November.
>
> Table B. Percent changes in CPI for Urban Wage Earners and
Clerical
> Workers (CPI-W)
> Seasonally
adjusted Un-
> Compound
adjusted
> Expenditure Changes from preceding month annual rate
12-mos.
> Category 2002 3-mos.
ended ended
> May June July Aug. Sep. Oct. Nov. Nov. ’02
Nov.’02
> All Items -.1 .1 .2 .3 .2 .2 .1
2.1 2.1
> Food and beverages -.2 .1 .1 -.1 .2 .1 .2
2.1 1.2
> Housing .3 .1 .2 .2 .2 .3 .2
2.5 2.4
> Apparel -.8 -.9 -1.0 1.1 .1 -.2 -.2 –
1.3 -2.0
> Transportation -.6 .2 .4 .5 .3 .5 -.2
2.1 3.4
> Medical care .5 .1 .8 .2 .3 .7 .6
6.4 5.1
> Recreation -.2 -.3 .1 .0 .0 .3 –
.1 .8 .6
> Education and
> communication .7 .3 .7 .7 -.2 .0 .0 –
.7 1.8
> Other goods and
> services -.9 1.5 .0 .8 .6 -.9 .0 –
1.3 2.6
> Special Indexes
> Energy -1.3 .2 .4 .7 .7 1.9 -.2
10.5 8.7
> Food -.2 .1 .2 -.1 .2 .1 .2
2.1 1.1
> All Items less
> food and energy .1 .1 .2 .3 .2 .1 .1
1.3 1.7
>
>
> Chained Consumer Price Index for All Urban Consumers (C-CPI-U)
>
> The C-CPI-U declined 0.1 percent in November on a not
seasonally
> adjusted basis. The November level of 106.1 (December 1999=100)
was 1.9
> percent higher than the index in November 2001. Table 7 contains
the most
> recent indexes for all items and the component series that are
published.
> Data will be published monthly in the CPI Detailed Report and are
> available on the CPI home page: http://www.bls.gov/cpi/. Please
note that
> the indexes for the post-2000 period are subject to revision.
>
> ——–
>
> Consumer Price Index data for December are scheduled for
release on
> Thursday, January 16, 2003, at 8:30 A.M. (EST). Releases for the
remainder
> of 2003:
>
> Feb. 21 May 16 Aug. 15 Nov. 18
> Mar. 21 June 17 Sep. 16 Dec. 16
> Apr. 16 July 16 Oct. 16 Jan. 15, 2004
>
>
______________________________________________________________________
_____
>
>
> NOTE ON A NEW, SUPPLEMENTAL INDEX
> OF CONSUMER PRICE CHANGE
>
> The Bureau of Labor Statistics began publishing a consumer
price
> index (CPI) called the Chained Consumer Price Index for All Urban
> Consumers, effective with release of July data on August 16, 2002.
> Designated the C-CPI-U, the index supplements the existing indexes
already
> produced by the BLS: the CPI for All Urban Consumers (CPI-U) and
the CPI
> for Urban Wage Earners and Clerical Workers (CPI-W).
>
> The C-CPI-U employs a Tornqvist formula and utilizes
expenditure data
> in adjacent time periods in order to reflect the effect of any
> substitution that consumers make across item categories in
response to
> changes in relative prices. The new measure, said to be
a “superlative”
> index, is designed to be a closer approximation to a “cost-of-
living”
> index than the CPI-U and CPI-W. The use of expenditure data for
both a
> base period and the current period in order to average price
change across
> item categories distinguishes the C-CPI-U from the other CPI
measures,
> which use only a single expenditure base period to compute the
price
> change over time. In 1999, the BLS introduced a geometric mean
estimator
> for averaging prices within most of the index’s item categories in
order
> to approximate the effect of consumers’ responses to changes in
relative
> prices within these item categories. The geometric mean estimator
is used
> in the C-CPI-U in the same item categories in which it is now used
in the
> CPI-U and CPI-W. (See Monthly Labor Review, October 1998, pp. 3-
7.)
>
> Expenditure data required for the calculation of the C-CPI-U
are
> available only with a time lag. Thus, the C-CPI-U is being issued
first
> in preliminary form using the latest available expenditure data at
this
> time and will be subject to two subsequent revisions.
Accordingly, with
> release of the July data, “final” values of the C-CPI-U have been
issued
> for the 12 months of 2000, “interim” values have been issued for
the 12
> months of 2001, and “initial” values have been issued for January-
July 2of
> 2002. In February 2003, with release of the January 2003 index,
revised
> interim indexes for the 12 months of 2002 will be published, and
the index
> values for 2001 will be revised and will become final. Then, in
February
> 2004, when the monthly expenditure data from calendar year 2002
become
> available, C-CPI-U indexes for the 12 months of 2002 will be
issued in
> final form and values for the 12 months of 2003 will be revised
and issued
> as interim. The C-CPI-U index revisions are expected to be small,
but in
> principle each monthly index could be revised from its previously
> published level.
>
>
______________________________________________________________________
_____
>
>
> Facilities for Sensory Impaired
>
> Information from this release will be made available to
sensory
> impaired individuals upon request. Voice phone: 202-691-5200,
Federal
> Relay Services: 1-800-877-8339. For a recorded message of
Summary CPI
> data, call (202) 691-5200.
>
>
______________________________________________________________________
_____
>
>
> Brief Explanation of the CPI
>
> The Consumer Price Index (CPI) is a measure of the average
change in
> prices over time of goods and services purchased by households.
The
> Bureau of Labor Statistics publishes CPIs for two population
groups: (1)
> the CPI for Urban Wage Earners and Clerical Workers (CPI-W), which
covers
> households of wage earners and clerical workers that comprise
> approximately 32 percent of the total population and (2) the CPI
for All
> Urban Consumers (CPI-U) and the Chained CPI for All Urban
Consumers (C-CPI-
> U), which cover approximately 87 percent of the total population
and
> include in addition to wage earners and clerical worker households,
> groups such as professional, managerial, and technical workers,
the self-
> employed, short-term workers, the unemployed, and retirees and
others not
> in the labor force.
>
> The CPIs are based on prices of food, clothing, shelter, and
fuels,
> transportation fares, charges for doctors’ and dentists’ services,
drugs,
> and other goods and services that people buy for day-to-day living.
> Prices are collected in 87 urban areas across the country from
about
> 50,000 housing units and approximately 23,000 retail
establishments-
> department stores, supermarkets, hospitals, filling stations, and
other
> types of stores and service establishments. All taxes directly
associated
> with the purchase and use of items are included in the index.
Prices of
> fuels and a few other items are obtained every month in all 87
locations.
> Prices of most other commodities and services are collected every
month in
> the three largest geographic areas and every other month in other
areas.
> Prices of most goods and services are obtained by personal visits
or
> telephone calls of the Bureau’s trained representatives.
>
> In calculating the index, price changes for the various items
in each
> location are averaged together with weights, which represent their
> importance in the spending of the appropriate population group.
Local
> data are then combined to obtain a U.S. city average. For the CPI-
U and
> CPI-W separate indexes are also published by size of city, by
region of
> the country, for cross-classifications of regions and population-
size
> classes, and for 27 local areas. Area indexes do not measure
differences
> in the level of prices among cities, they only measure the average
change
> in prices for each area since the base period. For the C-CPI-U
data are
> issued only at the national level. It is important to note that
the CPI-U
> and CPI-W are considered final when released, but the C-CPI-U is
issued in
> preliminary form and subject to two annual revisions.
>
> The index measures price change from a designed reference
date. For
> the CPI-U and the CPI-W the reference base is 1982-84 equals
100.0. The
> reference base for the C-CPI-U is December 1999 equals 100.
> An increase of 16.5 percent from the reference base, for example,
is shown
> as 116.5. This change can also be expressed in dollars as
follows: the
> price of a base period market basket of goods and services in the
CPI has
> risen from $10 in 1982-84 to $11.65.
>
> For further details visit the CPI home page on the Internet at
> http://www.bls.gov/cpi/ or contact our CPI Information and Analysis
> Section on (202) 691-7000.
>
>
______________________________________________________________________
_____
>
>
> Calculating Index Changes
>
> Movements of the indexes from one month to another are
> usually expressed as percent changes rather than changes in
index
> points, because index point changes are affected by the
level of
> the index in relation to its base period while percent
changes are
> not. The example below illustrates the computation of index
point
> and percent changes.
>
> Percent changes for 3-month and 6-month periods are
expressed
> as annual rates and are computed according to the standard
formula
> for compound growth rates. These data indicate what the
percent
> change would be if the current rate were maintained for a 12-
month
> period.
>
>
> Index Point Change
>
> CPI 115.7
> Less previous index 111.2
> Equals index point change 4.5
>
>
> Percent Change
>
>
> Table 1. Consumer Price Index for All Urban Consumers (CPI-U):
U.S. city
> average, by expenditure category and commodity
> and service group
>
> (1982-84=100, unless otherwise noted)
>
>
>
> Unadjusted
> Relative
Unadjusted
> indexes percent change to Seasonally adjusted
> importance,
> Nov. 2002 from- percent change from-
> CPI-U December
> 2001
Oct. Nov.
>
2002 2002
> Nov. Oct. Aug. to Sep. to Oct. to
>
> 2001 2002 Sep. Oct. Nov.
>
>
> Expenditure category
>
> All items …………………………….. 100.000 181.3
> 181.3 2.2 0.0 0.2 0.3 0.1
> All items (1967=100) …………………… – 543.2
> 543.1 – – – – –
>
> Food and beverages ……………………. 15.719 177.1
> 177.4 1.3 0.2 0.2 0.1 0.3
> Food ……………………………….. 14.688 176.5
> 176.8 1.3 0.2 0.2 0.1 0.2
> Food at home ……………………….. 8.468 175.1
> 175.5 0.5 0.2 0.3 -0.1 0.3
> Cereals and bakery products …………. 1.298 198.9
> 198.3 1.7 -0.3 0.4 0.4 0.1
> Meats, poultry, fish, and eggs ………. 2.271 161.3
> 162.1 -0.4 0.5 -0.2 -0.4 0.6
> Dairy and related products (1)……….. .916 166.5
> 167.1 -2.4 0.4 -0.5 0.1 0.4
> Fruits and vegetables ………………. 1.204 217.4
> 219.8 3.2 1.1 0.0 -0.9 1.0
> Nonalcoholic beverages and beverage
> materials ……………………… .967 140.5
> 139.1 -0.3 -1.0 2.2 0.1 -0.7
> Other food at home …………………. 1.811 160.9
> 161.1 0.5 0.1 0.5 0.3 0.3
> Sugar and sweets ………………….. .315 159.9
> 158.5 2.3 -0.9 -0.3 0.4 0.1
> Fats and oils …………………….. .265 155.9
> 153.4 -1.4 -1.6 1.1 0.1 -1.0
> Other foods ………………………. 1.232 177.0
> 178.3 0.4 0.7 0.6 0.3 0.7
> Other miscellaneous foods (1) (2)…… .289 109.8
> 110.3 -0.3 0.5 0.4 0.1 0.5
> Food away from home (1)………………. 6.220 179.6
> 179.8 2.3 0.1 0.2 0.2 0.1
> Other food away from home (1) (2)…….. .383 119.1
> 119.7 3.7 0.5 0.6 0.3 0.5
> Alcoholic beverages ………………….. 1.031 184.7
> 185.1 2.2 0.2 -0.2 0.4 0.2
>
> Housing ……………………………… 40.873 181.4
> 181.2 2.4 -0.1 0.1 0.3 0.2
> Shelter …………………………….. 31.522 209.7
> 209.6 3.3 0.0 0.1 0.2 0.3
> Rent of primary residence (3)…………. 6.421 201.3
> 202.0 3.3 0.3 0.1 0.3 0.3
> Lodging away from home (2) (3)………… 2.702 117.0
> 113.2 1.4 -3.2 -0.6 0.0 0.7
> Owners’ equivalent rent of primary
> residence (3) (4)………………… 22.046 216.8
> 217.3 3.4 0.2 0.2 0.3 0.1
> Tenants’ and household insurance (1) (2).. .353 110.0
> 111.4 4.2 1.3 0.4 0.0 1.3
> Fuels and utilities ………………….. 4.511 144.4
> 143.6 0.1 -0.6 0.4 0.4 0.0
> Fuels ……………………………… 3.654 127.9
> 127.0 -0.6 -0.7 0.4 0.5 -0.2
> Fuel oil and other fuels ……………. .188 119.3
> 121.8 3.0 2.1 1.2 1.7 0.8
> Gas (piped) and electricity (3)………. 3.466 134.9
> 133.7 -0.7 -0.9 0.4 0.4 -0.2
> Water and sewer and trash collection
> services (2)…………………….. .857 113.9
> 114.3 3.3 0.4 0.2 0.4 0.4
> Household furnishings and operations …… 4.840 128.0
> 127.8 -1.0 -0.2 -0.2 0.3 -0.1
> Household operations (1) (2)………….. .820 119.7
> 119.9 2.6 0.2 0.4 0.0 0.2
>
> Apparel ……………………………… 4.399 126.8
> 125.5 -2.0 -1.0 0.1 0.0 -0.4
> Men’s and boys’ apparel ………………. 1.122 122.8
> 123.2 -3.3 0.3 0.1 -0.2 0.3
> Women’s and girls’ apparel ……………. 1.807 120.5
> 118.0 -1.2 -2.1 -0.4 0.3 -0.8
> Infants’ and toddlers’ apparel (1)……… .203 127.7
> 127.5 -3.7 -0.2 1.5 1.2 -0.2
> Footwear ……………………………. .874 123.0
> 122.7 -0.8 -0.2 0.6 -0.3 -0.1
>
> Transportation ……………………….. 17.055 154.9
> 155.2 3.3 0.2 0.3 0.6 -0.1
> Private transportation ……………….. 15.845 151.1
> 151.5 3.7 0.3 0.3 0.7 -0.1
> New and used motor vehicles (2)……….. 8.614 98.9
> 98.8 -2.5 -0.1 0.1 -0.2 -0.5
> New vehicles ………………………. 5.083 139.5
> 140.4 -1.5 0.6 0.5 0.4 -0.1
> Used cars and trucks ……………….. 2.195 150.7
> 148.8 -5.5 -1.3 -0.8 -1.6 -1.4
> Motor fuel …………………………. 2.564 124.5
> 124.4 19.0 -0.1 1.0 3.4 -0.2
> Gasoline (all types) ……………….. 2.536 123.9
> 123.8 19.3 -0.1 1.0 3.8 -0.4
> Motor vehicle parts and equipment (1)….. .421 106.9
> 107.2 1.3 0.3 -0.3 -0.5 0.3
> Motor vehicle maintenance and repair ….. 1.400 191.8
> 192.8 3.4 0.5 0.0 0.1 0.5
> Public transportation ………………… 1.211 203.4
> 202.3 -1.4 -0.5 -0.9 -1.6 0.9
>
> Medical care …………………………. 5.810 289.2
> 290.5 5.0 0.4 0.3 0.6 0.6
> Medical care commodities ……………… 1.377 258.3
> 259.1 3.4 0.3 0.2 0.3 0.4
> Medical care services ………………… 4.434 297.1
> 298.5 5.5 0.5 0.4 0.7 0.6
> Professional services (3)…………….. 2.784 256.0
> 256.5 3.1 0.2 0.0 0.6 0.3
> Hospital and related services (3)……… 1.353 376.7
> 380.7 9.7 1.1 0.7 0.9 1.2
>
> Recreation (2)………………………… 6.019 106.4
> 106.4 0.9 0.0 0.0 0.3 0.0
> Video and audio (2)…………………… 1.645 102.6
> 103.0 1.6 0.4 0.3 0.4 0.4
>
> Education and communication (2)…………. 5.813 109.4
> 109.3 2.1 -0.1 -0.2 0.0 0.0
> Education (2)………………………… 2.726 129.9
> 130.0 6.3 0.1 0.6 0.3 0.4
> Educational books and supplies ……….. .220 323.2
> 324.0 6.3 0.2 -0.1 -0.1 1.1
> Tuition, other school fees, and childcare 2.506 373.8
> 374.1 6.3 0.1 0.7 0.4 0.4
> Communication (1) (2)…………………. 3.087 92.2
> 91.8 -1.6 -0.4 -0.8 -0.3 -0.4
> Information and information processing (1)
> (2)…………………………….. 2.903 90.4
> 90.0 -2.4 -0.4 -0.9 -0.3 -0.4
> Telephone services (1) (2)…………… 2.324 99.9
> 99.8 0.2 -0.1 -0.5 -0.2 -0.1
> Information and information processing
> other than telephone services (1) (5) .580 17.7
> 17.3 -13.5 -2.3 -2.7 -0.6 -2.3
> Personal computers and peripheral
> equipment (1) (2)………………. .275 20.7
> 20.0 -22.5 -3.4 -4.1 -1.9 -3.4
>
> Other goods and services ………………. 4.312 295.4
> 295.6 2.2 0.1 0.4 -0.5 0.1
> Tobacco and smoking products (1)……….. .928 470.6
> 470.4 5.3 0.0 1.6 -3.1 0.0
> Personal care (1)…………………….. 3.384 175.3
> 175.5 1.7 0.1 0.0 0.2 0.1
> Personal care products (1)……………. .706 154.6
> 154.2 -0.8 -0.3 0.1 0.1 -0.3
> Personal care services (1)……………. .901 189.3
> 189.9 1.7 0.3 0.1 0.1 0.3
> Miscellaneous personal services ………. 1.562 276.0
> 276.6 3.2 0.2 -0.1 0.3 0.3
>
> Commodity and service group
>
> Commodities …………………………… 41.300 150.7
> 150.6 0.7 -0.1 0.2 0.1 -0.1
> Food and beverages ……………………. 15.719 177.1
> 177.4 1.3 0.2 0.2 0.1 0.3
> Commodities less food and beverages …….. 25.582 135.5
> 135.2 0.4 -0.2 0.1 0.2 -0.3
> Nondurables less food and beverages ……. 13.493 148.4
> 148.0 3.6 -0.3 -0.6 0.8 0.5
> Apparel ……………………………. 4.399 126.8
> 125.5 -2.0 -1.0 0.1 0.0 -0.4
> Nondurables less food, beverages, and
> apparel ………………………… 9.094 166.0
> 166.0 6.3 0.0 -1.0 1.3 0.8
> Durables ……………………………. 12.089 120.6
> 120.5 -3.0 -0.1 -0.2 -0.2 -0.5
> Services ……………………………… 58.700 211.7
> 211.8 3.3 0.0 0.2 0.3 0.3
> Rent of shelter (4)……………………. 31.169 218.4
> 218.2 3.3 -0.1 0.1 0.3 0.1
> Tenants’ and household insurance (1) (2)…. .353 110.0
> 111.4 4.2 1.3 0.4 0.0 1.3
> Gas (piped) and electricity (3)…………. 3.466 134.9
> 133.7 -0.7 -0.9 0.4 0.4 -0.2
> Water and sewer and trash collection
> services (2)………………………. .857 113.9
> 114.3 3.3 0.4 0.2 0.4 0.4
> Household operations (1) (2)……………. .820 119.7
> 119.9 2.6 0.2 0.4 0.0 0.2
> Transportation services ……………….. 6.638 210.9
> 212.0 3.8 0.5 0.1 0.1 0.6
> Medical care services …………………. 4.434 297.1
> 298.5 5.5 0.5 0.4 0.7 0.6
> Other services ……………………….. 10.963 249.7
> 249.9 3.3 0.1 0.1 0.3 0.2
>
> Special indexes
>
> All items less food ……………………. 85.312 182.2
> 182.1 2.4 -0.1 0.2 0.3 0.1
> All items less shelter …………………. 68.478 172.2
> 172.3 1.8 0.1 0.2 0.2 0.1
> All items less medical care …………….. 94.190 175.6
> 175.6 2.1 0.0 0.2 0.2 0.1
> Commodities less food ………………….. 26.612 137.3
> 137.0 0.4 -0.2 0.1 0.2 -0.3
> Nondurables less food ………………….. 14.524 150.6
> 150.2 3.5 -0.3 -0.6 0.7 0.5
> Nondurables less food and apparel ……….. 10.125 166.9
> 166.9 5.8 0.0 -0.9 1.3 0.7
> Nondurables …………………………… 29.212 163.0
> 162.9 2.4 -0.1 -0.2 0.3 0.5
> Services less rent of shelter (4)………… 27.531 219.9
> 220.2 3.2 0.1 0.3 0.4 0.3
> Services less medical care services ……… 54.266 204.2
> 204.3 3.1 0.0 0.2 0.2 0.2
> Energy ……………………………….. 6.218 125.8
> 125.3 8.0 -0.4 0.7 1.9 -0.2
> All items less energy ………………….. 93.782 188.8
> 188.9 1.9 0.1 0.1 0.2 0.2
> All items less food and energy …………. 79.094 191.8
> 191.8 2.0 0.0 0.1 0.2 0.2
> Commodities less food and energy
> commodities ……………………… 23.860 143.9
> 143.6 -1.6 -0.2 0.0 -0.1 -0.3
> Energy commodities ………………….. 2.752 124.8
> 124.9 18.1 0.1 1.0 3.3 -0.2
> Services less energy services …………. 55.234 219.5
> 219.8 3.5 0.1 0.1 0.3 0.3
> Purchasing power of the consumer dollar
> (1982-84=$1.00) ……………………. –
$ .552 $
> .552 – – – – –
> Purchasing power of the consumer dollar
> (1967=$1.00) ………………………. –
$ .184 $
> .184 – – – – –
>
> 1 Not seasonally adjusted.
> 2 Indexes on a December 1997=100 base.
> 3 This index series was calculated using a Laspeyres estimator.
All
> other item stratum index series converted to a
> geometric means estimator in January, 1999.
> 4 Indexes on a December 1982=100 base.
> 5 Indexes on a December 1988=100 base.
> – Data not available.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 2. Consumer Price Index for All Urban Consumers (CPI-U):
Seasonally
> adjusted U.S. city average, by expenditure
> category and commodity and service group
>
> (1982-84=100, unless otherwise noted)
>
>
> Seasonally
adjusted indexes
> Seasonally adjusted annual rate percent
>
> change for
>
>
> CPI-U
> 3 months ended– 6 months
>
> ended–
> Aug. Sep.
Oct.
> Nov.
> 2002 2002
2002
> 2002
>
> Feb. May Aug. Nov. May Nov.
>
> 2002 2002 2002 2002 2002 2002
>
>
> Expenditure category
>
> All items …………………………….. 180.5 180.8
181.3
> 181.5 1.1 3.4 2.2 2.2 2.3 2.2
>
> Food and beverages ……………………. 176.6 177.0
177.1
> 177.6 2.3 0.0 0.7 2.3 1.1 1.5
> Food ……………………………….. 176.0 176.4
176.5
> 176.9 2.3 0.0 0.5 2.1 1.1 1.3
> Food at home ……………………….. 174.8 175.4
175.2
> 175.8 2.1 -1.1 -1.4 2.3 0.5 0.5
> Cereals and bakery products …………. 197.6 198.4
199.1
> 199.2 3.9 0.4 -0.8 3.3 2.2 1.2
> Meats, poultry, fish, and eggs ………. 161.7 161.4
160.7
> 161.7 -1.0 2.5 -2.9 0.0 0.7 -1.5
> Dairy and related products (1)……….. 167.2 166.3
166.5
> 167.1 -2.5 -2.6 -4.2 -0.2 -2.6 -2.2
> Fruits and vegetables ………………. 220.3 220.4
218.4
> 220.6 21.2 -8.8 2.4 0.5 5.1 1.5
> Nonalcoholic beverages and beverage
> materials ……………………… 137.6 140.6
140.7
> 139.7 -3.9 -0.9 -2.0 6.2 -2.4 2.0
> Other food at home …………………. 159.9 160.7
161.2
> 161.7 -1.2 -1.2 0.0 4.6 -1.2 2.3
> Sugar and sweets ………………….. 159.7 159.3
160.0
> 160.1 3.9 -0.5 5.2 1.0 1.7 3.1
> Fats and oils …………………….. 153.6 155.3
155.4
> 153.9 2.3 -3.0 -5.5 0.8 -0.4 -2.4
> Other foods ………………………. 176.0 177.0
177.5
> 178.7 -3.3 -1.1 0.0 6.3 -2.2 3.1
> Other miscellaneous foods (1) (2)…… 109.3 109.7
109.8
> 110.3 -9.1 3.4 1.5 3.7 -3.1 2.6
> Food away from home (1)………………. 178.8 179.2
179.6
> 179.8 2.8 1.4 2.7 2.3 2.1 2.5
> Other food away from home (1) (2)…….. 118.1 118.8
119.1
> 119.7 1.4 4.6 3.5 5.5 3.0 4.5
> Alcoholic beverages ………………….. 184.2 183.9
184.7
> 185.1 2.7 2.0 2.0 2.0 2.3 2.0
>
> Housing ……………………………… 180.9 181.1
181.6
> 181.9 2.7 2.9 2.0 2.2 2.8 2.1
> Shelter …………………………….. 209.0 209.3
209.8
> 210.4 5.0 3.1 2.7 2.7 4.1 2.7
> Rent of primary residence (3)…………. 200.4 200.7
201.3
> 202.0 4.4 3.1 2.8 3.2 3.7 3.0
> Lodging away from home (2) (3)………… 118.9 118.2
118.2
> 119.0 6.6 1.0 -1.7 0.3 3.8 -0.7
> Owners’ equivalent rent of primary
> residence (3) (4)………………… 215.7 216.2
216.8
> 217.1 4.5 3.2 3.4 2.6 3.8 3.0
> Tenants’ and household insurance (1) (2).. 109.6 110.0
110.0
> 111.4 -0.4 3.0 7.6 6.7 1.3 7.2
> Fuels and utilities ………………….. 143.7 144.3
144.9
> 144.9 -7.8 5.8 0.3 3.4 -1.2 1.8
> Fuels ……………………………… 127.4 127.9
128.5
> 128.3 -10.4 6.5 0.0 2.9 -2.3 1.4
> Fuel oil and other fuels ……………. 117.6 119.0
121.0
> 122.0 -31.3 24.6 13.2 15.8 -7.5 14.5
> Gas (piped) and electricity (3)………. 134.4 134.9
135.5
> 135.2 -8.5 5.5 -0.9 2.4 -1.8 0.7
> Water and sewer and trash collection
> services (2)…………………….. 113.3 113.5
113.9
> 114.3 3.7 3.3 2.1 3.6 3.5 2.9
> Household furnishings and operations …… 128.1 127.8
128.2
> 128.1 -2.1 0.9 -2.5 0.0 -0.6 -1.2
> Household operations (1) (2)………….. 119.2 119.7
119.7
> 119.9 3.5 1.7 2.7 2.4 2.6 2.5
>
> Apparel ……………………………… 123.7 123.8
123.8
> 123.3 -3.5 0.3 -3.2 -1.3 -1.6 -2.2
> Men’s and boys’ apparel ………………. 120.6 120.7
120.4
> 120.8 -5.9 -3.2 -4.5 0.7 -4.6 -2.0
> Women’s and girls’ apparel ……………. 116.3 115.8
116.1
> 115.2 1.7 -2.7 0.7 -3.7 -0.5 -1.5
> Infants’ and toddlers’ apparel (1)……… 124.3 126.2
127.7
> 127.5 -14.8 0.6 -9.4 10.7 -7.4 0.2
> Footwear ……………………………. 120.9 121.6
121.2
> 121.1 -3.6 7.1 -7.0 0.7 1.6 -3.2
>
> Transportation ……………………….. 153.9 154.3
155.2
> 155.1 -3.2 10.6 3.2 3.2 3.5 3.2
> Private transportation ……………….. 149.8 150.3
151.4
> 151.3 -3.3 10.9 3.8 4.1 3.6 3.9
> New and used motor vehicles (2)……….. 99.2 99.3
99.1
> 98.6 -4.3 -3.6 0.8 -2.4 -3.9 -0.8
> New vehicles ………………………. 139.2 139.9
140.4
> 140.3 -5.2 -2.8 -0.9 3.2 -4.0 1.2
> Used cars and trucks ……………….. 153.7 152.4
149.9
> 147.8 -4.5 -6.3 4.5 -14.5 -5.4 -5.4
> Motor fuel …………………………. 119.7 120.9
125.0
> 124.7 -13.4 80.1 9.6 17.8 24.9 13.6
> Gasoline (all types) ……………….. 119.0 120.2
124.8
> 124.3 -13.5 78.7 10.0 19.0 24.4 14.4
> Motor vehicle parts and equipment (1)….. 107.7 107.4
106.9
> 107.2 1.1 2.7 3.4 -1.8 1.9 0.8
> Motor vehicle maintenance and repair ….. 191.2 191.2
191.4
> 192.4 3.7 5.0 2.3 2.5 4.3 2.4
> Public transportation ………………… 208.2 206.3
203.1
> 205.0 -0.2 7.5 -6.1 -6.0 3.6 -6.1
>
> Medical care …………………………. 287.1 288.0
289.8
> 291.4 4.2 5.2 4.4 6.1 4.7 5.3
> Medical care commodities ……………… 257.5 257.9
258.8
> 259.9 4.2 2.1 3.7 3.8 3.1 3.7
> Medical care services ………………… 294.4 295.5
297.7
> 299.4 4.3 6.3 4.5 7.0 5.3 5.7
> Professional services (3)…………….. 254.9 255.0
256.5
> 257.2 2.1 2.4 4.0 3.7 2.3 3.8
> Hospital and related services (3)……… 370.6 373.3
376.7
> 381.1 9.0 12.0 6.0 11.8 10.5 8.9
>
> Recreation (2)………………………… 106.2 106.2
106.5
> 106.5 0.8 1.5 -0.4 1.1 1.1 0.4
> Video and audio (1) (2)……………….. 102.2 102.5
102.9
> 103.3 3.2 0.8 -2.3 4.4 2.0 1.0
>
> Education and communication (2)…………. 109.0 108.8
108.8
> 108.8 2.7 -0.4 7.3 -0.7 1.1 3.2
> Education (2)………………………… 127.2 128.0
128.4
> 128.9 6.4 4.6 8.6 5.5 5.5 7.0
> Educational books and supplies ……….. 321.2 320.9
320.6
> 324.0 10.2 7.0 4.7 3.5 8.6 4.1
> Tuition, other school fees, and childcare 365.6 368.0
369.4
> 370.8 5.9 4.5 9.0 5.8 5.2 7.4
> Communication (1) (2)…………………. 93.2 92.5
92.2
> 91.8 -0.9 -5.1 5.8 -5.9 -3.0 -0.2
> Information and information processing (1)
> (2)…………………………….. 91.5 90.7
90.4
> 90.0 -0.9 -5.5 3.6 -6.4 -3.2 -1.5
> Telephone services (1) (2)…………… 100.6 100.1
99.9
> 99.8 2.8 -3.9 5.3 -3.1 -0.6 1.0
> Information and information processing
> other than telephone services (1) (5) 18.3 17.8
17.7
> 17.3 -18.5 -10.1 -4.3 -20.1 -14.4 -12.6
> Personal computers and peripheral
> equipment (1) (2)………………. 22.0 21.1
20.7
> 20.0 -27.6 -12.8 -16.3 -31.7 -20.5 -24.4
>
> Other goods and services ………………. 295.9 297.0
295.4
> 295.6 1.4 1.8 6.2 -0.4 1.6 2.8
> Tobacco and smoking products (1)……….. 478.2 485.8
470.6
> 470.4 2.3 -0.3 28.7 -6.4 1.0 9.8
> Personal care (1)…………………….. 174.9 174.9
175.3
> 175.5 2.6 2.3 0.5 1.4 2.4 0.9
> Personal care products (1)……………. 154.3 154.4
154.6
> 154.2 0.3 -1.8 -1.3 -0.3 -0.8 -0.8
> Personal care services (1)……………. 189.1 189.2
189.3
> 189.9 -0.9 4.1 1.7 1.7 1.6 1.7
> Miscellaneous personal services ………. 275.4 275.2
276.0
> 276.9 4.4 4.0 2.2 2.2 4.2 2.2
>
> Commodity and service group
>
> Commodities …………………………… 150.0 150.3
150.5
> 150.4 -2.1 3.6 0.8 1.1 0.7 0.9
> Food and beverages ……………………. 176.6 177.0
177.1
> 177.6 2.3 0.0 0.7 2.3 1.1 1.5
> Commodities less food and beverages …….. 134.6 134.8
135.1
> 134.7 -4.7 5.5 0.9 0.3 0.3 0.6
> Nondurables less food and beverages ……. 146.8 145.9
147.1
> 147.8 -4.7 12.8 4.5 2.8 3.7 3.6
> Apparel ……………………………. 123.7 123.8
123.8
> 123.3 -3.5 0.3 -3.2 -1.3 -1.6 -2.2
> Nondurables less food, beverages, and
> apparel ………………………… 165.2 163.6
165.7
> 167.1 -5.7 19.6 7.9 4.7 6.2 6.3
> Durables ……………………………. 121.3 121.1
120.9
> 120.3 -5.1 -2.9 -0.7 -3.3 -4.0 -2.0
> Services ……………………………… 210.8 211.2
211.8
> 212.4 3.5 3.5 3.1 3.1 3.5 3.1
> Rent of shelter (4)……………………. 217.6 217.9
218.6
> 218.9 4.8 3.0 2.8 2.4 3.9 2.6
> Tenants’ and household insurance (1) (2)…. 109.6 110.0
110.0
> 111.4 -0.4 3.0 7.6 6.7 1.3 7.2
> Gas (piped) and electricity (3)…………. 134.4 134.9
135.5
> 135.2 -8.5 5.5 -0.9 2.4 -1.8 0.7
> Water and sewer and trash collection
> services (2)………………………. 113.3 113.5
113.9
> 114.3 3.7 3.3 2.1 3.6 3.5 2.9
> Household operations (1) (2)……………. 119.2 119.7
119.7
> 119.9 3.5 1.7 2.7 2.4 2.6 2.5
> Transportation services ……………….. 210.3 210.6
210.8
> 212.0 4.0 5.1 2.7 3.3 4.6 3.0
> Medical care services …………………. 294.4 295.5
297.7
> 299.4 4.3 6.3 4.5 7.0 5.3 5.7
> Other services ……………………….. 248.1 248.4
249.1
> 249.7 3.0 2.5 5.3 2.6 2.8 4.0
>
> Special indexes
>
> All items less food ……………………. 181.3 181.6
182.1
> 182.3 0.9 4.1 2.5 2.2 2.5 2.3
> All items less shelter …………………. 171.3 171.7
172.1
> 172.2 -0.5 3.8 1.7 2.1 1.7 1.9
> All items less medical care …………….. 174.9 175.2
175.6
> 175.7 1.2 3.3 2.1 1.8 2.2 2.0
> Commodities less food ………………….. 136.5 136.7
137.0
> 136.6 -4.3 5.5 0.9 0.3 0.4 0.6
> Nondurables less food ………………….. 149.1 148.2
149.3
> 150.0 -4.6 11.9 4.7 2.4 3.3 3.6
> Nondurables less food and apparel ……….. 166.1 164.6
166.7
> 167.9 -4.9 17.4 7.6 4.4 5.6 6.0
> Nondurables …………………………… 162.0 161.6
162.1
> 162.9 -1.5 6.2 2.8 2.2 2.3 2.5
> Services less rent of shelter (4)………… 218.7 219.3
220.1
> 220.7 1.1 4.2 4.1 3.7 2.6 3.9
> Services less medical care services ……… 203.4 203.9
204.4
> 204.9 3.1 3.6 2.8 3.0 3.3 2.9
> Energy ……………………………….. 123.2 124.1
126.4
> 126.1 -11.2 34.4 4.0 9.8 9.3 6.8
> All items less energy ………………….. 188.2 188.4
188.7
> 189.0 2.2 1.5 2.2 1.7 1.8 1.9
> All items less food and energy …………. 191.1 191.3
191.6
> 191.9 2.1 2.1 2.1 1.7 2.1 1.9
> Commodities less food and energy
> commodities ……………………… 143.7 143.7
143.5
> 143.1 -3.0 -1.4 -0.3 -1.7 -2.2 -1.0
> Energy commodities ………………….. 120.2 121.4
125.4
> 125.1 -14.3 75.5 9.9 17.3 22.7 13.5
> Services less energy services …………. 218.6 218.9
219.6
> 220.2 4.4 3.4 3.4 3.0 3.9 3.2
>
> 1 Not seasonally adjusted.
> 2 Indexes on a December 1997=100 base.
> 3 This index series was calculated using a Laspeyres estimator.
All
> other item stratum index series converted to a
> geometric means estimator in January, 1999.
> 4 Indexes on a December 1982=100 base.
> 5 Indexes on a December 1988=100 base.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 3. Consumer Price Index for All Urban Consumers (CPI-U):
Selected
> areas, all items index
>
> (1982-84=100, unless otherwise noted)
>
>
>
> All items
>
>
> Prici-
Indexes
> Percent change to Percent change to
> CPI-U ng
> Nov.2002 from– Oct.2002 from–
> sched-
> ule Aug.
Sep. Oct.
> Nov.
> (1) 2002
2002 2002
> 2002 Nov. Sep. Oct. Oct. Aug. Sep.
>
> 2001 2002 2002 2001 2002 2002
>
>
> U.S. city average ……………………… M 180.7 181.0
181.3
> 181.3 2.2 0.2 0.0 2.0 0.3 0.2
>
> Region and area size(2)
>
>
> Northeast urban ……………………….. M 189.3 189.5
189.9
> 190.1 2.8 0.3 0.1 2.6 0.3 0.2
> Size A – More than 1,500,000 …………. M 191.3 191.2
191.5
> 191.7 3.0 0.3 0.1 2.8 0.1 0.2
> Size B/C 50,000 to 1,500,000 (3)………. M 112.0 112.6
113.0
> 113.1 2.0 0.4 0.1 2.2 0.9 0.4
>
> Midwest urban …………………………. M 175.8 176.2
176.3
> 176.1 2.1 -0.1 -0.1 2.1 0.3 0.1
> Size A – More than 1,500,000 ………… M 178.2 178.8
178.7
> 178.3 2.4 -0.3 -0.2 2.4 0.3 -0.1
> Size B/C – 50,000 to 1,500,000 (3)……… M 111.4 111.5
111.9
> 111.7 1.5 0.2 -0.2 1.7 0.4 0.4
> Size D – Nonmetropolitan (less than
> 50,000) …………………………. M 169.7 170.0
170.2
> 170.4 2.5 0.2 0.1 2.0 0.3 0.1
>
> South urban …………………………… M 173.8 174.2
174.9
> 174.9 2.3 0.4 0.0 1.9 0.6 0.4
> Size A – More than 1,500,000 …………. M 175.4 175.7
176.5
> 176.1 2.3 0.2 -0.2 2.0 0.6 0.5
> Size B/C – 50,000 to 1,500,000 (3)…….. M 110.9 111.2
111.6
> 111.9 2.3 0.6 0.3 1.7 0.6 0.4
> Size D – Nonmetropolitan (less than
> 50,000) …………………………. M 172.7 172.6
172.9
> 173.0 2.4 0.2 0.1 1.8 0.1 0.2
>
> West urban ……………………………. M 185.3 185.7
185.8
> 185.8 1.9 0.1 0.0 1.8 0.3 0.1
> Size A – More than 1,500,000 ………… M 187.9 188.2
188.4
> 188.4 2.2 0.1 0.0 2.1 0.3 0.1
> Size B/C – 50,000 to 1,500,000 (3)……… M 113.0 113.1
113.3
> 113.1 1.0 0.0 -0.2 1.1 0.3 0.2
>
> Size classes
>
> A (4)……………………………….. M 165.3 165.5
165.8
> 165.7 2.5 0.1 -0.1 2.3 0.3 0.2
> B/C (3)……………………………… M 111.5 111.8
112.1
> 112.2 1.8 0.4 0.1 1.6 0.5 0.3
> D ………………………………….. M 173.9 174.3
174.3
> 174.5 2.2 0.1 0.1 1.6 0.2 0.0
>
> Selected local areas(5)
>
>
> Chicago-Gary-Kenosha, IL-IN-WI ………….. M 181.6 182.1
182.8
> 183.2 3.3 0.6 0.2 2.6 0.7 0.4
> Los Angeles-Riverside-Orange County, CA ….. M 183.0 183.4
183.7
> 184.0 3.3 0.3 0.2 3.0 0.4 0.2
> New York-Northern N.J.-Long Island,
> NY-NJ-CT-PA ……………………….. M 193.1 193.3
193.7
> 193.4 3.0 0.1 -0.2 3.1 0.3 0.2
>
> Boston-Brockton-Nashua, MA-NH-ME-CT ……… 1 –
199.1 –
> 200.4 4.0 0.7 – – – –
> Cleveland-Akron, OH ……………………. 1 –
174.6 –
> 173.4 0.6 -0.7 – – – –
> Dallas-Fort Worth, TX ………………….. 1 –
173.2 –
> 173.6 1.2 0.2 – – – –
> Washington-Baltimore, DC-MD-VA-WV (6)…….. 1 –
114.0 –
> 114.0 2.8 0.0 – – – –
>
> Atlanta, GA …………………………… 2 179.7 –
> 4 – – – – 1.5 -0.2 –
> Detroit-Ann Arbor-Flint, MI …………….. 2 180.9 –
> 4 – – – – 3.2 -0.3 –
> Houston-Galveston-Brazoria, TX ………….. 2 160.1 –
> 6 – – – – 2.0 1.6 –
> Miami-Fort Lauderdale, FL ………………. 2 175.2 –
> 0 – – – – 1.6 1.0 –
> Philadelphia-Wilmington-Atlantic City,
> PA-NJ-DE-MD ……………………….. 2 188.3 –
> 8 – – – – 1.6 -1.3 –
> San Francisco-Oakland-San Jose, CA ………. 2 193.5 –
> 3 – – – – 1.4 0.4 –
> Seattle-Tacoma-Bremerton, WA ……………. 2 190.3 –
> 9 – – – – 1.6 0.3 –
>
> 1 Areas on pricing schedule 2 (see Table 10) will appear next
month.
> 2 Regions defined as the four Census regions. See technical
notes.
> 3 Indexes on a December 1996=100 base.
> 4 Indexes on a December 1986=100 base.
> 5 In addition, the following metropolitan areas are published
> semiannually and appear in Tables 34 and 39 of the
> January and July issues of the CPI Detailed Report: Anchorage, AK;
> Cincinnati-Hamilton, OH-KY-IN; Denver-Boulder-Greeley,
> CO; Honolulu, HI; Kansas City, MO-KS; Milwaukee-Racine, WI;
Minneapolis-St.
> Paul, MN-WI; Phoenix-Mesa, AZ; Pittsburgh, PA;
> Portland-Salem, OR-WA; St. Louis, MO-IL; San Diego, CA; Tampa-St.
> Petersburg-Clearwater, FL.
> 6 Indexes on a November 1996=100 base.
> – Data not available.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 4. Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W): U.S. city average, by expenditure
> category and commodity and service group
>
> (1982-84=100, unless otherwise noted)
>
>
>
> Unadjusted
> Relative
Unadjusted
> indexes percent change to Seasonally adjusted
> importance,
> Nov. 2002 from- percent change from-
> CPI-W December
> 2001
Oct. Nov.
>
2002 2002
> Nov. Oct. Aug. to Sep. to Oct. to
>
> 2001 2002 Sep. Oct. Nov.
>
>
> Expenditure category
>
> All items …………………………….. 100.000 177.3
> 177.4 2.1 0.1 0.2 0.2 0.1
> All items (1967=100) …………………… – 528.2
> 528.4 – – – – –
>
> Food and beverages ……………………. 17.229 176.3
> 176.6 1.2 0.2 0.2 0.1 0.2
> Food ……………………………….. 16.228 175.7
> 176.0 1.1 0.2 0.2 0.1 0.2
> Food at home ……………………….. 9.798 174.2
> 174.5 0.5 0.2 0.2 -0.1 0.3
> Cereals and bakery products …………. 1.468 198.9
> 198.2 1.8 -0.4 0.6 0.3 0.1
> Meats, poultry, fish, and eggs ………. 2.831 161.2
> 162.1 -0.3 0.6 -0.4 -0.3 0.6
> Dairy and related products (1)……….. 1.021 166.4
> 166.9 -2.5 0.3 -0.5 0.2 0.3
> Fruits and vegetables ………………. 1.307 216.2
> 218.0 3.1 0.8 0.0 -0.9 0.8
> Nonalcoholic beverages and beverage
> materials ……………………… 1.132 139.9
> 138.6 -0.1 -0.9 2.3 0.1 -0.8
> Other food at home …………………. 2.038 160.3
> 160.7 0.6 0.2 0.5 0.2 0.5
> Sugar and sweets ………………….. .339 159.5
> 158.2 2.3 -0.8 -0.1 0.2 0.1
> Fats and oils …………………….. .316 155.8
> 153.4 -1.1 -1.5 1.0 0.1 -0.9
> Other foods ………………………. 1.383 177.2
> 178.8 0.6 0.9 0.5 0.3 0.9
> Other miscellaneous foods (1) (2)…… .310 110.1
> 111.0 0.2 0.8 0.2 0.0 0.8
> Food away from home (1)………………. 6.430 179.4
> 179.7 2.2 0.2 0.2 0.2 0.2
> Other food away from home (1) (2)…….. .275 119.6
> 120.0 3.6 0.3 0.7 0.3 0.3
> Alcoholic beverages ………………….. 1.001 184.3
> 184.6 2.1 0.2 -0.2 0.6 0.1
>
>
> Housing ……………………………… 38.141 176.9
> 176.9 2.4 0.0 0.2 0.3 0.2
> Shelter …………………………….. 29.212 203.5
> 203.7 3.3 0.1 0.2 0.3 0.2
> Rent of primary residence (3)…………. 8.395 200.6
> 201.3 3.3 0.3 0.1 0.3 0.2
> Lodging away from home (2) (3)………… 1.523 117.7
> 114.0 2.0 -3.1 -0.3 0.3 0.8
> Owners’ equivalent rent of primary
> residence (3) (4)………………… 18.980 196.9
> 197.4 3.4 0.3 0.4 0.3 0.2
> Tenants’ and household insurance (1) (2).. .314 110.1
> 111.2 3.8 1.0 0.4 0.0 1.0
> Fuels and utilities ………………….. 4.829 143.6
> 143.0 0.1 -0.4 0.3 0.5 0.1
> Fuels ……………………………… 3.955 126.7
> 126.0 -0.6 -0.6 0.2 0.6 0.0
> Fuel oil and other fuels ……………. .177 118.6
> 121.0 2.1 2.0 1.6 2.1 0.9
> Gas (piped) and electricity (3)………. 3.778 133.8
> 132.9 -0.6 -0.7 0.2 0.5 -0.1
> Water and sewer and trash collection
> services (2)…………………….. .873 114.0
> 114.3 3.2 0.3 0.3 0.3 0.4
> Household furnishings and operations …… 4.101 123.9
> 123.7 -1.5 -0.2 -0.4 0.3 -0.2
> Household operations (1) (2)………….. .357 120.4
> 120.8 2.5 0.3 0.2 0.2 0.3
>
> Apparel ……………………………… 4.831 125.5
> 124.6 -2.0 -0.7 0.1 -0.2 -0.2
> Men’s and boys’ apparel ………………. 1.243 122.3
> 122.7 -3.6 0.3 -0.2 -0.5 0.3
> Women’s and girls’ apparel ……………. 1.864 119.3
> 117.2 -0.7 -1.8 -0.3 0.3 -0.8
> Infants’ and toddlers’ apparel (1)……… .256 129.5
> 129.7 -3.4 0.2 1.3 0.9 0.2
> Footwear ……………………………. 1.165 122.3
> 122.5 -1.4 0.2 0.4 -0.7 0.2
>
> Transportation ……………………….. 19.393 154.0
> 154.2 3.4 0.1 0.3 0.5 -0.2
> Private transportation ……………….. 18.452 151.4
> 151.6 3.6 0.1 0.3 0.6 -0.2
> New and used motor vehicles (2)……….. 10.145 99.0
> 98.7 -2.9 -0.3 -0.1 -0.4 -0.8
> New vehicles ………………………. 4.897 140.7
> 141.5 -1.6 0.6 0.5 0.4 -0.2
> Used cars and trucks ……………….. 4.099 151.5
> 149.7 -5.4 -1.2 -0.8 -1.6 -1.4
> Motor fuel …………………………. 3.153 124.9
> 124.8 19.5 -0.1 1.2 3.5 -0.5
> Gasoline (all types) ……………….. 3.120 124.4
> 124.3 19.7 -0.1 1.3 3.4 -0.3
> Motor vehicle parts and equipment (1)….. .530 106.2
> 106.5 1.4 0.3 -0.3 -0.5 0.3
> Motor vehicle maintenance and repair ….. 1.438 193.3
> 194.3 3.5 0.5 -0.1 0.1 0.6
> Public transportation ………………… .941 199.2
> 198.5 -0.9 -0.4 -0.9 -1.2 0.8
>
> Medical care …………………………. 4.620 288.3
> 289.6 5.1 0.5 0.3 0.7 0.6
> Medical care commodities ……………… 1.006 252.8
> 253.5 3.2 0.3 0.2 0.2 0.5
> Medical care services ………………… 3.614 296.9
> 298.4 5.6 0.5 0.3 0.8 0.6
> Professional services (3)…………….. 2.245 258.2
> 258.7 3.1 0.2 0.0 0.7 0.4
> Hospital and related services (3)……… 1.092 372.6
> 376.7 9.9 1.1 0.6 1.1 1.2
>
> Recreation (2)………………………… 5.649 104.6
> 104.6 0.6 0.0 0.0 0.3 -0.1
> Video and audio (2)…………………… 1.803 101.8
> 102.2 1.5 0.4 0.1 0.6 0.4
>
> Education and communication (2)…………. 5.637 109.0
> 108.8 1.8 -0.2 -0.2 0.0 0.0
> Education (2)………………………… 2.382 129.6
> 129.7 6.1 0.1 0.6 0.3 0.5
> Educational books and supplies ……….. .203 324.2
> 325.0 5.2 0.2 0.0 0.2 1.2
> Tuition, other school fees, and childcare 2.178 365.7
> 366.0 6.1 0.1 0.7 0.3 0.4
> Communication (1) (2)…………………. 3.255 93.6
> 93.3 -1.3 -0.3 -0.7 -0.3 -0.3
> Information and information processing (1)
> (2)…………………………….. 3.107 92.4
> 92.0 -1.9 -0.4 -0.7 -0.3 -0.4
> Telephone services (1) (2)…………… 2.591 100.2
> 100.1 0.4 -0.1 -0.5 -0.1 -0.1
> Information and information processing
> other than telephone services (1) (5) .516 18.3
> 17.9 -13.9 -2.2 -2.1 -1.1 -2.2
> Personal computers and peripheral
> equipment (1) (2)………………. .253 20.4
> 19.7 -22.7 -3.4 -4.1 -1.9 -3.4
>
> Other goods and services ………………. 4.499 304.9
> 305.0 2.6 0.0 0.6 -0.9 0.0
> Tobacco and smoking products (1)……….. 1.441 473.1
> 472.8 5.5 -0.1 1.6 -3.1 -0.1
> Personal care (1)…………………….. 3.059 174.8
> 174.9 1.5 0.1 0.1 0.2 0.1
> Personal care products (1)……………. .815 155.5
> 155.0 -0.7 -0.3 0.1 0.2 -0.3
> Personal care services (1)……………. .900 190.1
> 190.6 1.7 0.3 0.1 0.1 0.3
> Miscellaneous personal services ………. 1.161 275.9
> 276.6 3.4 0.3 0.0 0.3 0.3
>
> Commodity and service group
>
> Commodities …………………………… 45.559 151.4
> 151.3 0.8 -0.1 0.2 0.1 -0.1
> Food and beverages ……………………. 17.229 176.3
> 176.6 1.2 0.2 0.2 0.1 0.2
> Commodities less food and beverages …….. 28.330 136.9
> 136.5 0.4 -0.3 0.1 0.1 -0.4
> Nondurables less food and beverages ……. 14.685 150.6
> 150.2 4.2 -0.3 -0.8 0.8 0.7
> Apparel ……………………………. 4.831 125.5
> 124.6 -2.0 -0.7 0.1 -0.2 -0.2
> Nondurables less food, beverages, and
> apparel ………………………… 9.854 169.7
> 169.6 7.2 -0.1 -1.1 1.3 0.9
> Durables ……………………………. 13.645 121.0
> 120.6 -3.4 -0.3 -0.2 -0.3 -0.7
> Services ……………………………… 54.441 207.8
> 208.1 3.3 0.1 0.2 0.3 0.2
> Rent of shelter (4)……………………. 28.898 196.1
> 196.2 3.3 0.1 0.2 0.3 0.3
> Tenants’ and household insurance (1) (2)…. .314 110.1
> 111.2 3.8 1.0 0.4 0.0 1.0
> Gas (piped) and electricity (3)…………. 3.778 133.8
> 132.9 -0.6 -0.7 0.2 0.5 -0.1
> Water and sewer and trash collection
> services (2)………………………. .873 114.0
> 114.3 3.2 0.3 0.3 0.3 0.4
> Household operations (1) (2)……………. .357 120.4
> 120.8 2.5 0.3 0.2 0.2 0.3
> Transportation services ……………….. 6.573 210.0
> 211.4 4.5 0.7 0.2 0.2 0.6
> Medical care services …………………. 3.614 296.9
> 298.4 5.6 0.5 0.3 0.8 0.6
> Other services ……………………….. 10.033 244.6
> 244.8 3.2 0.1 0.1 0.2 0.2
>
> Special indexes
>
> All items less food ……………………. 83.772 177.5
> 177.5 2.4 0.0 0.2 0.3 0.1
> All items less shelter …………………. 70.788 169.7
> 169.7 1.7 0.0 0.1 0.2 0.1
> All items less medical care …………….. 95.380 172.5
> 172.5 2.0 0.0 0.2 0.2 0.1
> Commodities less food ………………….. 29.331 138.6
> 138.3 0.5 -0.2 0.1 0.1 -0.4
> Nondurables less food ………………….. 15.687 152.6
> 152.3 4.0 -0.2 -0.7 0.8 0.6
> Nondurables less food and apparel ……….. 10.855 170.3
> 170.2 6.7 -0.1 -1.1 1.3 0.8
> Nondurables …………………………… 31.915 163.9
> 163.9 2.6 0.0 -0.2 0.3 0.5
> Services less rent of shelter (4)………… 25.543 195.2
> 195.6 3.3 0.2 0.2 0.4 0.3
> Services less medical care services ……… 50.827 200.7
> 200.9 3.1 0.1 0.4 0.2 0.2
> Energy ……………………………….. 7.109 125.2
> 124.8 8.7 -0.3 0.7 1.9 -0.2
> All items less energy ………………….. 92.891 184.7
> 184.8 1.7 0.1 0.1 0.1 0.1
> All items less food and energy …………. 76.663 186.9
> 187.0 1.7 0.1 0.2 0.1 0.1
> Commodities less food and energy
> commodities ……………………… 26.001 144.5
> 144.1 -1.9 -0.3 -0.1 -0.3 -0.3
> Energy commodities ………………….. 3.330 125.1
> 125.2 18.7 0.1 1.2 3.4 -0.4
> Services less energy services …………. 50.663 216.1
> 216.5 3.6 0.2 0.2 0.3 0.3
> Purchasing power of the consumer dollar
> (1982-84=$1.00) ……………………. –
$ .564 $
> .564 – – – – –
> Purchasing power of the consumer dollar
> (1967=$1.00) ………………………. –
$ .189 $
> .189 – – – – –
>
> 1 Not seasonally adjusted.
> 2 Indexes on a December 1997=100 base.
> 3 This index series was calculated using a Laspeyres estimator.
All
> other item stratum index series converted to a
> geometric means estimator in January, 1999.
> 4 Indexes on a December 1984=100 base
> 5 Indexes on a December 1988=100 base.
> – Data not available.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 5. Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W): Seasonally adjusted U.S. city
> average, by expenditure category and commodity and service group
>
> (1982-84=100, unless otherwise noted)
>
>
> Seasonally
adjusted indexes
> Seasonally adjusted annual rate percent
>
> change for
>
>
> CPI-W
> 3 months ended– 6 months
>
> ended–
> Aug. Sep.
Oct.
> Nov.
> 2002 2002
2002
> 2002
>
> Feb. May Aug. Nov. May Nov.
>
> 2002 2002 2002 2002 2002 2002
>
>
> Expenditure category
>
> All items …………………………….. 176.5 176.8
177.2
> 177.4 0.7 3.5 2.3 2.1 2.1 2.2
>
> Food and beverages ……………………. 175.9 176.3
176.4
> 176.8 2.3 0.0 0.5 2.1 1.1 1.3
> Food ……………………………….. 175.3 175.7
175.8
> 176.2 2.1 -0.2 0.5 2.1 0.9 1.3
> Food at home ……………………….. 174.0 174.4
174.2
> 174.8 2.1 -1.4 -0.9 1.9 0.3 0.5
> Cereals and bakery products …………. 197.5 198.6
199.1
> 199.2 3.7 1.0 -1.0 3.5 2.4 1.2
> Meats, poultry, fish, and eggs ………. 161.7 161.1
160.6
> 161.5 -0.7 2.0 -2.2 -0.5 0.6 -1.3
> Dairy and related products (1)……….. 167.0 166.1
166.4
> 166.9 -2.8 -3.0 -4.0 -0.2 -2.9 -2.1
> Fruits and vegetables ………………. 219.2 219.1
217.1
> 218.9 21.7 -9.8 3.5 -0.5 4.8 1.5
> Nonalcoholic beverages and beverage
> materials ……………………… 137.0 140.1
140.2
> 139.1 -4.0 -1.2 -1.4 6.3 -2.6 2.3
> Other food at home …………………. 159.5 160.3
160.6
> 161.4 -1.0 -1.5 0.0 4.9 -1.2 2.4
> Sugar and sweets ………………….. 159.4 159.3
159.6
> 159.8 4.2 -1.5 5.4 1.0 1.3 3.2
> Fats and oils …………………….. 153.6 155.2
155.4
> 154.0 2.6 -3.0 -4.8 1.0 -0.3 -1.9
> Other foods ………………………. 176.4 177.2
177.7
> 179.3 -2.9 -1.1 -0.2 6.7 -2.0 3.2
> Other miscellaneous foods (1) (2)…… 109.9 110.1
110.1
> 111.0 -8.0 3.7 1.5 4.1 -2.3 2.8
> Food away from home (1)………………. 178.7 179.0
179.4
> 179.7 2.5 1.4 2.7 2.3 1.9 2.5
> Other food away from home (1) (2)…….. 118.5 119.3
119.6
> 120.0 0.7 6.0 2.7 5.2 3.3 3.9
> Alcoholic beverages ………………….. 183.8 183.4
184.5
> 184.6 2.5 2.7 1.5 1.8 2.6 1.6
>
> Housing ……………………………… 176.2 176.5
177.0
> 177.3 2.3 2.8 1.8 2.5 2.6 2.2
> Shelter …………………………….. 202.5 203.0
203.6
> 204.1 4.7 3.0 2.4 3.2 3.9 2.8
> Rent of primary residence (3)…………. 199.8 200.0
200.6
> 201.1 4.2 3.1 3.1 2.6 3.6 2.8
> Lodging away from home (2) (3)………… 118.4 118.1
118.5
> 119.4 9.5 0.3 -4.9 3.4 4.8 -0.8
> Owners’ equivalent rent of primary
> residence (3) (4)………………… 195.7 196.4
196.9
> 197.3 4.5 3.1 2.7 3.3 3.8 3.0
> Tenants’ and household insurance (1) (2).. 109.7 110.1
110.1
> 111.2 -1.1 3.0 8.0 5.6 0.9 6.8
> Fuels and utilities ………………….. 143.0 143.4
144.1
> 144.2 -7.8 4.3 1.1 3.4 -1.9 2.3
> Fuels ……………………………… 126.2 126.5
127.3
> 127.3 -10.2 4.9 0.6 3.5 -2.9 2.1
> Fuel oil and other fuels ……………. 116.4 118.3
120.8
> 121.9 -32.8 21.1 11.0 20.3 -9.8 15.6
> Gas (piped) and electricity (3)………. 133.4 133.7
134.4
> 134.3 -8.6 4.0 0.3 2.7 -2.5 1.5
> Water and sewer and trash collection
> services (2)…………………….. 113.4 113.7
114.0
> 114.4 3.7 2.9 2.5 3.6 3.3 3.0
> Household furnishings and operations …… 124.2 123.7
124.1
> 123.9 -2.5 -0.3 -2.2 -1.0 -1.4 -1.6
> Household operations (1) (2)………….. 120.0 120.2
120.4
> 120.8 3.8 0.7 3.1 2.7 2.2 2.9
>
> Apparel ……………………………… 122.8 122.9
122.7
> 122.4 -4.7 1.0 -3.2 -1.3 -1.9 -2.2
> Men’s and boys’ apparel ………………. 120.7 120.5
119.9
> 120.3 -5.3 -2.9 -4.8 -1.3 -4.1 -3.1
> Women’s and girls’ apparel ……………. 115.0 114.7
115.1
> 114.2 0.3 -0.7 0.0 -2.8 -0.2 -1.4
> Infants’ and toddlers’ apparel (1)……… 126.8 128.4
129.5
> 129.7 -16.4 4.8 -9.2 9.5 -6.4 -0.3
> Footwear ……………………………. 120.8 121.3
120.5
> 120.8 -4.8 6.8 -6.7 0.0 0.8 -3.4
>
> Transportation ……………………….. 153.1 153.5
154.2
> 153.9 -3.7 11.0 4.3 2.1 3.4 3.2
> Private transportation ……………….. 150.3 150.7
151.6
> 151.3 -3.8 11.2 4.7 2.7 3.5 3.7
> New and used motor vehicles (2)……….. 99.6 99.5
99.1
> 98.3 -4.7 -3.9 1.6 -5.1 -4.3 -1.8
> New vehicles ………………………. 140.4 141.1
141.6
> 141.3 -5.7 -2.8 -0.6 2.6 -4.3 1.0
> Used cars and trucks ……………….. 154.5 153.2
150.7
> 148.6 -5.0 -6.3 4.5 -14.4 -5.6 -5.4
> Motor fuel …………………………. 120.1 121.5
125.7
> 125.1 -12.7 80.0 10.6 17.7 25.3 14.1
> Gasoline (all types) ……………….. 119.5 121.0
125.1
> 124.7 -12.8 80.5 10.3 18.6 25.5 14.4
> Motor vehicle parts and equipment (1)….. 107.0 106.7
106.2
> 106.5 1.1 2.7 3.8 -1.9 1.9 0.9
> Motor vehicle maintenance and repair ….. 192.9 192.7
192.9
> 194.1 3.9 4.9 2.7 2.5 4.4 2.6
> Public transportation ………………… 203.5 201.7
199.2
> 200.7 0.6 6.0 -4.6 -5.4 3.3 -5.0
>
> Medical care …………………………. 286.0 286.9
288.8
> 290.5 4.1 5.4 4.5 6.4 4.8 5.4
> Medical care commodities ……………… 252.1 252.5
253.1
> 254.3 4.1 2.4 2.9 3.5 3.3 3.2
> Medical care services ………………… 294.2 295.2
297.5
> 299.3 4.2 6.1 5.0 7.1 5.1 6.1
> Professional services (3)…………….. 256.9 257.0
258.7
> 259.7 1.9 2.4 3.8 4.4 2.2 4.1
> Hospital and related services (3)……… 366.4 368.5
372.6
> 377.1 8.4 12.1 7.2 12.2 10.2 9.7
>
> Recreation (2)………………………… 104.5 104.5
104.8
> 104.7 1.2 1.2 -0.8 0.8 1.2 0.0
> Video and audio (1) (2)……………….. 101.4 101.5
102.1
> 102.5 3.6 0.8 -2.7 4.4 2.2 0.8
>
> Education and communication (2)…………. 108.7 108.5
108.5
> 108.5 2.3 -0.7 6.9 -0.7 0.8 3.0
> Education (2)………………………… 127.1 127.9
128.3
> 128.9 5.0 5.0 8.6 5.8 5.0 7.2
> Educational books and supplies ……….. 322.6 322.7
323.2
> 327.0 1.2 7.5 6.6 5.6 4.3 6.1
> Tuition, other school fees, and childcare 358.0 360.6
361.8
> 363.1 5.5 4.5 8.8 5.8 5.0 7.3
> Communication (1) (2)…………………. 94.6 93.9
93.6
> 93.3 0.0 -5.0 5.7 -5.4 -2.5 0.0
> Information and information processing (1)
> (2)…………………………….. 93.4 92.7
92.4
> 92.0 -0.4 -5.0 3.9 -5.9 -2.8 -1.1
> Telephone services (1) (2)…………… 100.8 100.3
100.2
> 100.1 3.2 -4.3 5.8 -2.7 -0.6 1.4
> Information and information processing
> other than telephone services (1) (5) 18.9 18.5
18.3
> 17.9 -19.5 -9.8 -6.1 -19.5 -14.8 -13.1
> Personal computers and peripheral
> equipment (1) (2)………………. 21.7 20.8
20.4
> 19.7 -27.9 -12.9 -16.5 -32.1 -20.8 -24.7
>
> Other goods and services ………………. 306.0 307.8
304.9
> 305.0 1.4 1.1 9.6 -1.3 1.2 4.0
> Tobacco and smoking products (1)……….. 480.7 488.4
473.1
> 472.8 2.2 -0.5 30.1 -6.4 0.8 10.3
> Personal care (1)…………………….. 174.3 174.4
174.8
> 174.9 2.1 1.9 0.7 1.4 2.0 1.0
> Personal care products (1)……………. 155.1 155.2
155.5
> 155.0 0.5 -2.3 -0.8 -0.3 -0.9 -0.5
> Personal care services (1)……………. 189.8 190.0
190.1
> 190.6 -0.6 4.3 1.5 1.7 1.8 1.6
> Miscellaneous personal services ………. 275.2 275.2
275.9
> 276.8 4.7 3.6 2.8 2.3 4.1 2.6
>
> Commodity and service group
>
> Commodities …………………………… 150.8 151.1
151.2
> 151.0 -2.6 3.8 1.3 0.5 0.5 0.9
> Food and beverages ……………………. 175.9 176.3
176.4
> 176.8 2.3 0.0 0.5 2.1 1.1 1.3
> Commodities less food and beverages …….. 136.3 136.4
136.6
> 136.0 -5.2 6.1 2.1 -0.9 0.3 0.6
> Nondurables less food and beverages ……. 149.2 148.0
149.2
> 150.2 -5.7 14.5 6.1 2.7 3.9 4.4
> Apparel ……………………………. 122.8 122.9
122.7
> 122.4 -4.7 1.0 -3.2 -1.3 -1.9 -2.2
> Nondurables less food, beverages, and
> apparel ………………………… 169.0 167.2
169.4
> 171.0 -5.9 22.3 9.8 4.8 7.3 7.3
> Durables ……………………………. 121.8 121.6
121.2
> 120.4 -5.4 -2.6 -0.7 -4.5 -4.0 -2.6
> Services ……………………………… 206.7 207.2
207.9
> 208.4 3.2 3.4 3.2 3.3 3.3 3.2
> Rent of shelter (4)……………………. 195.1 195.5
196.1
> 196.6 4.9 2.9 2.5 3.1 3.9 2.8
> Tenants’ and household insurance (1) (2)…. 109.7 110.1
110.1
> 111.2 -1.1 3.0 8.0 5.6 0.9 6.8
> Gas (piped) and electricity (3)…………. 133.4 133.7
134.4
> 134.3 -8.6 4.0 0.3 2.7 -2.5 1.5
> Water and sewer and trash collection
> services (2)………………………. 113.4 113.7
114.0
> 114.4 3.7 2.9 2.5 3.6 3.3 3.0
> Household operations (1) (2)……………. 120.0 120.2
120.4
> 120.8 3.8 0.7 3.1 2.7 2.2 2.9
> Transportation services ……………….. 209.0 209.5
210.0
> 211.2 4.6 5.4 3.7 4.3 5.0 4.0
> Medical care services …………………. 294.2 295.2
297.5
> 299.3 4.2 6.1 5.0 7.1 5.1 6.1
> Other services ……………………….. 243.3 243.5
244.1
> 244.6 3.2 2.0 5.6 2.2 2.6 3.9
>
> Special indexes
>
> All items less food ……………………. 176.6 176.9
177.4
> 177.5 0.5 4.2 2.8 2.1 2.3 2.4
> All items less shelter …………………. 169.0 169.2
169.5
> 169.6 -1.0 3.9 2.4 1.4 1.4 1.9
> All items less medical care …………….. 171.7 172.0
172.4
> 172.5 0.5 3.3 2.4 1.9 1.9 2.1
> Commodities less food ………………….. 138.0 138.2
138.3
> 137.8 -5.1 6.0 2.1 -0.6 0.3 0.7
> Nondurables less food ………………….. 151.2 150.2
151.4
> 152.3 -5.1 14.0 5.5 2.9 4.0 4.2
> Nondurables less food and apparel ……….. 169.7 167.9
170.1
> 171.4 -5.6 20.0 9.7 4.1 6.4 6.9
> Nondurables …………………………… 163.0 162.6
163.1
> 163.9 -1.7 7.0 3.0 2.2 2.5 2.6
> Services less rent of shelter (4)………… 194.4 194.7
195.4
> 196.0 0.8 4.1 5.1 3.3 2.4 4.2
> Services less medical care services ……… 199.7 200.4
200.9
> 201.3 2.7 3.7 2.9 3.2 3.2 3.0
> Energy ……………………………….. 122.5 123.4
125.8
> 125.6 -11.0 35.3 5.4 10.5 9.8 7.9
> All items less energy ………………….. 184.1 184.3
184.5
> 184.7 1.8 1.3 2.2 1.3 1.5 1.8
> All items less food and energy …………. 186.3 186.6
186.7
> 186.9 1.5 1.7 2.4 1.3 1.6 1.8
> Commodities less food and energy
> commodities ……………………… 144.6 144.5
144.0
> 143.5 -3.5 -1.6 0.6 -3.0 -2.6 -1.2
> Energy commodities ………………….. 120.4 121.8
126.0
> 125.5 -13.6 76.2 10.6 18.1 23.4 14.3
> Services less energy services …………. 214.9 215.4
216.1
> 216.7 4.3 3.3 3.4 3.4 3.8 3.4
>
> 1 Not seasonally adjusted.
> 2 Indexes on a December 1997=100 base.
> 3 This index series was calculated using a Laspeyres estimator.
All
> other item stratum index series converted to a
> geometric means estimator in January, 1999.
> 4 Indexes on a December 1984=100 base
> 5 Indexes on a December 1988=100 base.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 6. Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W): Selected areas, all items index
>
> (1982-84=100, unless otherwise noted)
>
>
>
> All items
>
>
> Prici-
Indexes
> Percent change to Percent change to
> CPI-W ng
> Nov.2002 from– Oct.2002 from–
> sched-
> ule Aug.
Sep. Oct.
> Nov.
> (1) 2002
2002 2002
> 2002 Nov. Sep. Oct. Oct. Aug. Sep.
>
> 2001 2002 2002 2001 2002 2002
>
>
> U.S. city average ……………………… M 176.6 177.0
177.3
> 177.4 2.1 0.2 0.1 1.9 0.4 0.2
>
> Region and area size(2)
>
>
> Northeast urban ……………………….. M 185.7 186.2
186.5
> 186.9 2.8 0.4 0.2 2.6 0.4 0.2
> Size A – More than 1,500,000 …………. M 186.4 186.7
186.9
> 187.3 3.0 0.3 0.2 2.7 0.3 0.1
> Size B/C 50,000 to 1,500,000 (3)………. M 112.0 112.5
112.9
> 113.1 2.4 0.5 0.2 2.5 0.8 0.4
>
> Midwest urban …………………………. M 171.3 171.7
171.8
> 171.6 2.0 -0.1 -0.1 2.0 0.3 0.1
> Size A – More than 1,500,000 ………… M 172.8 173.4
173.3
> 173.0 2.3 -0.2 -0.2 2.3 0.3 -0.1
> Size B/C – 50,000 to 1,500,000 (3)……… M 111.0 111.1
111.4
> 111.3 1.4 0.2 -0.1 1.5 0.4 0.3
> Size D – Nonmetropolitan (less than
> 50,000) …………………………. M 167.6 167.8
168.1
> 168.2 2.5 0.2 0.1 1.9 0.3 0.2
>
> South urban …………………………… M 171.3 171.7
172.3
> 172.4 2.0 0.4 0.1 1.5 0.6 0.3
> Size A – More than 1,500,000 …………. M 172.7 172.9
173.7
> 173.3 2.2 0.2 -0.2 1.8 0.6 0.5
> Size B/C – 50,000 to 1,500,000 (3)…….. M 110.2 110.5
110.9
> 111.1 1.9 0.5 0.2 1.4 0.6 0.4
> Size D – Nonmetropolitan (less than
> 50,000) …………………………. M 172.8 173.0
173.2
> 173.4 2.1 0.2 0.1 1.4 0.2 0.1
>
> West urban ……………………………. M 180.3 180.7
180.8
> 181.0 1.9 0.2 0.1 1.7 0.3 0.1
> Size A – More than 1,500,000 ………… M 181.3 181.7
181.7
> 181.9 2.4 0.1 0.1 2.1 0.2 0.0
> Size B/C – 50,000 to 1,500,000 (3)……… M 112.5 112.7
112.9
> 112.9 1.0 0.2 0.0 1.0 0.4 0.2
>
> Size classes
>
> A (4)……………………………….. M 163.4 163.8
164.0
> 164.0 2.5 0.1 0.0 2.3 0.4 0.1
> B/C (3)……………………………… M 111.0 111.3
111.6
> 111.7 1.6 0.4 0.1 1.5 0.5 0.3
> D ………………………………….. M 172.5 172.9
173.0
> 173.1 2.0 0.1 0.1 1.5 0.3 0.1
>
> Selected local areas(5)
>
>
>
> Chicago-Gary-Kenosha, IL-IN-WI ………….. M 175.5 175.8
176.5
> 176.9 3.3 0.6 0.2 2.7 0.6 0.4
> Los Angeles-Riverside-Orange County, CA ….. M 175.6 176.3
176.5
> 177.0 3.7 0.4 0.3 3.2 0.5 0.1
> New York-Northern N.J.-Long Island,
> NY-NJ-CT-PA ……………………….. M 188.1 188.6
188.8
> 188.8 3.0 0.1 0.0 3.0 0.4 0.1
>
> Boston-Brockton-Nashua, MA-NH-ME-CT ……… 1 –
197.7 –
> 199.2 3.8 0.8 – – – –
> Cleveland-Akron, OH ……………………. 1 –
165.7 –
> 164.9 0.5 -0.5 – – – –
> Dallas-Fort Worth, TX ………………….. 1 –
172.9 –
> 173.0 1.1 0.1 – – – –
> Washington-Baltimore, DC-MD-VA-WV (6)…….. 1 –
113.7 –
> 113.5 2.5 -0.2 – – – –
>
> Atlanta, GA …………………………… 2 176.8 –
> 3 – – – – 1.3 -0.3 –
> Detroit-Ann Arbor-Flint, MI …………….. 2 175.0 –
> 0 – – – – 3.5 0.0 –
> Houston-Galveston-Brazoria, TX ………….. 2 158.0 –
> 3 – – – – 1.6 1.5 –
> Miami-Fort Lauderdale, FL ………………. 2 172.8 –
> 5 – – – – 1.6 1.0 –
> Philadelphia-Wilmington-Atlantic City,
> PA-NJ-DE-MD ……………………….. 2 186.7 –
> 6 – – – – 1.8 -0.6 –
> San Francisco-Oakland-San Jose, CA ………. 2 189.3 –
> 0 – – – – 1.3 0.4 –
> Seattle-Tacoma-Bremerton, WA ……………. 2 184.8 –
> 5 – – – – 1.3 0.4 –
>
> 1 Areas on pricing schedule 2 (see Table 10) will appear next
month.
> 2 Regions defined as the four Census regions. See technical
notes.
> 3 Indexes on a December 1996=100 base.
> 4 Indexes on a December 1986=100 base.
> 5 In addition, the following metropolitan areas are published
> semiannually and appear in Tables 34 and 39 of the
> January and July issues of the CPI Detailed Report: Anchorage, AK;
> Cincinnati-Hamilton, OH-KY-IN; Denver-Boulder-Greeley,
> CO; Honolulu, HI; Kansas City, MO-KS; Milwaukee-Racine, WI;
Minneapolis-St.
> Paul, MN-WI; Phoenix-Mesa, AZ; Pittsburgh, PA;
> Portland-Salem, OR-WA; St. Louis, MO-IL; San Diego, CA; Tampa-St.
> Petersburg-Clearwater, FL.
> 6 Indexes on a November 1996=100 base.
> – Data not available.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> Table 7. Chained Consumer Price Index for All Urban Consumers (C-
CPI-U):
> U.S. city average, by
> expenditure category and commodity and service group
>
> (December 1999=100, unless otherwise noted)
>
>
>
> Unadjusted
> Relative
Unadjusted
> percent change to
> importance,
indexes
> Nov. 2002 from-
> C-CPI-U December
> 1999-2000
>
Oct. Nov.
> Nov. Oct.
>
2002 2002
> 2001 2002
>
>
> Expenditure category
>
> All items …………………………….. 100.000 106.2
> 106.1 1.9 -0.1
> Food and beverages ……………………. 15.451 106.3
> 106.5 1.2 0.2
> Food ……………………………….. 14.432 106.3
> 106.5 1.2 0.2
> Food at home ……………………….. 8.335 105.2
> 105.4 0.4 0.2
> Food away from home …………………. 6.096 107.8
> 107.9 2.3 0.1
> Alcoholic beverages ………………….. 1.019 106.8
> 107.0 2.1 0.2
> Housing ……………………………… 40.040 109.3
> 109.1 2.2 -0.2
> Shelter …………………………….. 30.643 111.0
> 110.9 3.2 -0.1
> Fuels and utilities (1)……………….. 4.376 111.4
> 110.7 0.3 -0.6
> Household furnishings and operations …… 5.020 98.1
> 97.9 -1.5 -0.2
> Apparel ……………………………… 4.819 96.5
> 95.5 -2.3 -1.0
> Transportation ……………………….. 17.770 103.6
> 103.8 3.3 0.2
> Private transportation ……………….. 16.520 103.8
> 104.0 3.6 0.2
> Public transportation ………………… 1.250 100.7
> 100.2 -1.4 -0.5
> Medical care …………………………. 5.563 113.3
> 113.8 4.9 0.4
> Medical care commodities ……………… 1.330 109.7
> 110.1 3.3 0.4
> Medical care services ………………… 4.233 114.4
> 114.9 5.2 0.4
> Recreation …………………………… 6.124 102.2
> 102.2 0.1 0.0
> Education and communication ……………. 6.068 97.4
> 97.0 -0.1 -0.4
> Education …………………………… 2.546 118.6
> 118.7 6.3 0.1
> Communication ……………………….. 3.522 84.2
> 83.6 -4.5 -0.7
> Other goods and services ………………. 4.164 110.8
> 110.9 2.2 0.1
>
> Commodity and service group
>
> Services (2)…………………………… 57.098 110.5
> 110.5 3.1 0.0
> Commodities …………………………… 42.902 100.8
> 100.7 0.4 -0.1
> Durables …………………………….. 12.953 91.7
> 91.6 -3.7 -0.1
> Nondurables …………………………… 29.949 105.0
> 104.9 2.1 -0.1
> All items less food and energy …………. 78.851 105.7
> 105.7 1.5 0.0
> Energy (3)…………………………….. 6.717 111.3
> 110.8 8.3 -0.4
>
> 1 Revised index for U.S. city average: Aug. 2002=113.6.
> 2 Revised index for U.S. city average: Aug. 2002=110.5.
> 3 Revised index for U.S. city average: July 2002=111.2.
> Indexes for 2002 are initial estimates. Indexes for 2001 are
interim
> adjustments.
> NOTE: Index applies to a month as a whole, not to any specific
date.
>
> ——————————————————————–
—–
> The Consumer Price Index (cpi)
> news release mailing list is a service of the Bureau of Labor
> Statistics. To subscribe or unsubscribe to BLS news releases
> please visit http://www.bls.gov/bls/list.htm
> ——————————————————————–
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>
> ——————————————————————–
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> version is at http://www.bls.gov/news.release/pdf/realer.pdf
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> ——————————————————————–
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>
> Internet Address: http://www.bls.gov/ces/
> Technical information: (202) 691-6555 USDL 02-685
> Media contact: 691-5902
>
> TRANSMISSION OF MATERIAL
> IN THIS RELEASE IS
EMBARGOED
> UNTIL 8:30 AM EST,
TUESDAY,
> DECEMBER 17, 2002
>
> REAL EARNINGS IN NOVEMBER 2002
>
> Real average weekly earnings increased by 0.2 percent from
October to
> November after seasonal adjustment, according to preliminary data
released
> today
> by the Bureau of Labor Statistics of the U.S. Department of Labor.
A 0.3
> percent increase in average hourly earnings was partly offset by a
0.1
> percent
> rise in the Consumer Price Index for Urban Wage Earners and
Clerical Workers
> (CPI-W). Average weekly hours were unchanged.
>
> Data on average weekly earnings are collected from the payroll
reports
> of
> private nonfarm establishments. Earnings of both full-time and
part-time
> workers holding production or nonsupervisory jobs are included.
Real
> average
> weekly earnings are calculated by adjusting earnings in current
dollars for
> changes in the CPI-W.
>
> Average weekly earnings rose by 3.2 percent, seasonally
adjusted, from
> November 2001 to November 2002. After deflation by the CPI-W,
average
> weekly
> earnings rose by 1.1 percent. Before adjustment for seasonal
change and
> inflation, average weekly earnings were $508.64 in November 2002,
compared
> with
> $494.36 a year earlier.
> _____________________________
>
> Real Earnings for December 2002 will be released on
Thursday, January
> 16,
> 2003. Release dates for the balance of 2003 are as follows:
>
> Feb. 21 May 16 Aug. 15 Nov. 18
> Mar. 21 June 17 Sept. 16 Dec. 16
> Apr. 16 July 16 Oct. 16
>
>
>
**********************************************************************
******
> **
> * The Current Employment Statistics (CES) program for the National
series
> *
> * will convert from the 1987 Standard Industrial Classification
(SIC) to
> *
> * the 2002 North American Industrial Classification System (NAICS)
with the
> *
> * release of May 2003 estimates in June 2003. All CES data,
including real
> *
> * average hourly earnings and real average weekly earnings, will be
> *
> * reconstructed under NAICS. After the conversion to NAICS, SIC-
based
> *
> * series will no longer be produced or published.
> *
> * See http://www.bls.gov/ces/cesnaics.htm or call 202-691-6555 for
further
> *
> * details.
> *
>
**********************************************************************
******
> **
>
>
>
> Table A. Composition of change in real earnings of production or
> nonsupervisory workers on private nonfarm payrolls
>
______________________________________________________________________
__
> | | | | |
> | Average | Average | Average | The |
Real
> | hourly | weekly | weekly | Consumer |
average
> Year | earnings | hours | earnings | Price |
weekly
> and | | | | Index1/ |
earnings
> month
|___________|___________|___________|___________|___________
> |
> | Percent change from preceding month, seasonally
adjusted
>
____________|_________________________________________________________
__
> | | | | |
> 2001: | | | | |
> Nov. | 0.3 | 0.3 | 0.6 | -0.1 |
0.8
> Dec. | .3 | .0 | .3 | -.2
| .6
> 2002: | | | | |
> Jan. | .2 | .0 | .2 | .2 |
(2)
> Feb. | .2 | .3 | .5 | .2
| .3
> Mar. | .2 | .0 | .2 | .3 | –
.1
> Apr. | .1 | .0 | .1 | .6 | –
.4
> May | .2 | .0 | .2 | -.1
| .3
> June | .3 | .3 | .6 | .1
| .5
> July | .1 | -.9 | -.7 | .2 | –
.9
> Aug. | .5 | .3 | .8 | .3
| .5
> Sept. | .1 | .3 | .4 | .2
| .2
> Oct.p | .3 | .0 | .3 | .2
| .1
> Nov.p | .3 | .0 | .3 | .1
| .2
>
____________|___________|___________|___________|___________|_________
__
>
> 1/ The deflator for the constant-dollar series presented in this
> release is the Consumer Price Index for Urban Wage Earners and
Clerical
> Workers (CPI-W).
> 2/ Less than 0.05 percent.
> p = preliminary.
>
>
> Table B. Percent change in earnings from the same month a year ago
for
> production or nonsupervisory workers on private nonfarm payrolls,
> seasonally adjusted
>
______________________________________________________________________
___
> | |
> | Average hourly | Average weekly
> | earnings | earnings
> Year
|_____________________________|_____________________________
> and | | | |
> month | Current | Constant | Current |
Constant
> | dollars | (1982) | dollars |
(1982)
> | | dollars1/ | |
dollars1/
>
_____________|______________|______________|______________|___________
___
> | | | |
> 2001: | | | |
> Nov. | 3.9 | 2.1 | 3.3 |
1.6
> Dec. | 3.8 | 2.6 | 3.5 |
2.3
> 2002: | | | |
> Jan. | 3.8 | 3.0 | 3.2 |
2.4
> Feb. | 3.5 | 2.7 | 3.5 |
2.7
> Mar. | 3.3 | 2.0 | 3.3 |
2.1
> Apr. | 3.2 | 1.9 | 3.2 |
1.9
> May | 3.2 | 2.4 | 3.2 |
2.4
> June | 3.1 | 2.4 | 3.4 |
2.7
> July | 3.0 | 1.8 | 2.4 |
1.1
> Aug. | 3.2 | 1.6 | 3.2 |
1.6
> Sept. | 2.9 | 1.6 | 3.2 |
1.9
> Oct.p | 3.0 | 1.0 | 3.6 |
1.7
> Nov.p | 2.9 | .7 | 3.2 |
1.1
>
_____________|______________|______________|______________|___________
___
>
> 1/ The deflator for the constant-dollar series presented in this
release
> is the Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W).
> 2/ Less than 0.05 percent.
> p = preliminary.
>
>
>
>
>
>
> Table 1. Earnings of production or nonsupervisory workers on
private
> nonfarm payrolls in current and constant dollars1/ by industry,
not
> seasonally adjusted
>
____________________________________________________________________
> |
> | Average hourly earnings
>
|_________________________________________
> | | | |
> Industry | | | | Percent
> | Nov. | Oct. | Nov. | change
> | 2001 | 2002p| 2002p| Nov.
2001 –
> | | | | Nov. 2002
>
__________________________|________|________|________|______________
> | | | |
> Total private:2/ | | | |
> Current dollars……….| $14.54 | $14.91 | $14.96 | 2.9
> Constant (1982) dollars..| 8.11 | 8.15 | 8.17 | .7
> | | | |
> Goods-producing: | | | |
> Current dollars……….| 16.16 | 16.60 | 16.60 | 2.7
> Constant (1982) dollars..| 9.01 | 9.07 | 9.07 | .7
> | | | |
> Mining: | | | |
> Current dollars……….| 17.61 | 17.79 | 17.89 | 1.6
> Constant (1982) dollars..| 9.82 | 9.72 | 9.77 | -.5
> | | | |
> Construction: | | | |
> Current dollars……….| 18.54 | 19.12 | 19.09 | 3.0
> Constant (1982) dollars..| 10.34 | 10.45 | 10.43 | .9
> | | | |
> Manufacturing: | | | |
> Current dollars……….| 15.07 | 15.42 | 15.48 | 2.7
> Constant (1982) dollars..| 8.40 | 8.43 | 8.45 | .6
> | | | |
> Service-producing: | | | |
> Current dollars……….| 14.06 | 14.44 | 14.50 | 3.1
> Constant (1982) dollars..| 7.84 | 7.89 | 7.92 | 1.0
> | | | |
> Transportation and public | | | |
> utilities: | | | |
> Current dollars……….| 17.01 | 17.38 | 17.46 | 2.6
> Constant (1982) dollars..| 9.49 | 9.50 | 9.54 | .5
> | | | |
> Wholesale trade: | | | |
> Current dollars……….| 15.96 | 16.25 | 16.35 | 2.4
> Constant (1982) dollars..| 8.90 | 8.88 | 8.93 | .3
> | | | |
> Retail trade: | | | |
> Current dollars……….| 9.91 | 10.13 | 10.13 | 2.2
> Constant (1982) dollars..| 5.53 | 5.54 | 5.53 | .0
> | | | |
> Finance, insurance, | | | |
> and real estate: | | | |
> Current dollars……….| 15.97 | 16.52 | 16.70 | 4.6
> Constant (1982) dollars..| 8.91 | 9.03 | 9.12 | 2.4
> | | | |
> Services: | | | |
> Current dollars……….| 14.99 | 15.39 | 15.49 | 3.3
> Constant (1982) dollars..| 8.36 | 8.41 | 8.46 | 1.2
>
__________________________|________|________|________|______________
>
> See footnotes at end of table.
>
>
>
>
>
>
> Table 1. Earnings of production or nonsupervisory workers on
private
> nonfarm payrolls in current and constant dollars1/ by industry,
not
> seasonally adjusted – Continued
>
____________________________________________________________________
> |
> | Average weekly earnings
>
|_________________________________________
> | | | |
> Industry | | | | Percent
> | Nov. | Oct. | Nov. | change
> | 2001 | 2002p| 2002p| Nov.
2001 –
> | | | | Nov. 2002
>
__________________________|________|________|________|______________
> | | | |
> Total private:2/ | | | |
> Current dollars……….|$494.36 |$508.43 |$508.64 | 2.9
> Constant (1982) dollars..| 275.72 | 277.83 | 277.79 | .8
> | | | |
> Goods-producing: | | | |
> Current dollars……….| 651.25 | 668.98 | 665.66 | 2.2
> Constant (1982) dollars..| 363.22 | 365.56 | 363.55 | .1
> | | | |
> Mining: | | | |
> Current dollars……….| 764.27 | 766.75 | 767.48 | .4
> Constant (1982) dollars..| 426.25 | 418.99 | 419.16 | -1.7
> | | | |
> Construction: | | | |
> Current dollars……….| 724.91 | 745.68 | 725.42 | .1
> Constant (1982) dollars..| 404.30 | 407.48 | 396.19 | -2.0
> | | | |
> Manufacturing: | | | |
> Current dollars……….| 613.35 | 630.68 | 634.68 | 3.5
> Constant (1982) dollars..| 342.08 | 344.63 | 346.63 | 1.3
> | | | |
> Service-producing: | | | |
> Current dollars……….| 456.95 | 472.19 | 474.15 | 3.8
> Constant (1982) dollars..| 254.85 | 258.03 | 258.96 | 1.6
> | | | |
> Transportation and public | | | |
> utilities: | | | |
> Current dollars……….| 644.68 | 665.65 | 670.46 | 4.0
> Constant (1982) dollars..| 359.55 | 363.74 | 366.17 | 1.8
> | | | |
> Wholesale trade: | | | |
> Current dollars……….| 611.27 | 624.00 | 629.48 | 3.0
> Constant (1982) dollars..| 340.92 | 340.98 | 343.79 | .8
> | | | |
> Retail trade: | | | |
> Current dollars……….| 282.44 | 292.76 | 292.76 | 3.7
> Constant (1982) dollars..| 157.52 | 159.98 | 159.89 | 1.5
> | | | |
> Finance, insurance, | | | |
> and real estate: | | | |
> Current dollars……….| 573.32 | 591.42 | 599.53 | 4.6
> Constant (1982) dollars..| 319.75 | 323.18 | 327.43 | 2.4
> | | | |
> Services: | | | |
> Current dollars……….| 487.18 | 501.71 | 504.97 | 3.7
> Constant (1982) dollars..| 271.71 | 274.16 | 275.79 | 1.5
>
__________________________|________|________|________|______________
>
> 1/ The deflator for the constant-dollar series presented in this
> release is the Consumer Price Index for Urban Wage Earners and
> Clerical Workers (CPI-W).
> 2/ Data relate to production and related workers in mining and
> manufacturing; construction workers in construction; and
> nonsupervisory workers in transportation and public utilities,
> trade, finance, insurance, and real estate, and services.
Included
> in this group are approximately four-fifths of all jobs on
private
> industry payrolls.
> p = preliminary.
>
>
>
>
> Table 2. Earnings of production or nonsupervisory workers on
private
> nonfarm payrolls1/, seasonally adjusted
>
______________________________________________________________________
___
> | |
> | |
> | Average hourly | Average weekly
> | earnings | earnings
> | |
> Year
|_____________________________|_____________________________
> and | | | |
> month | | | |
> | Current | Constant | Current |
Constant
> | dollars | (1982) | dollars |
(1982)
> | | dollars2/ | |
dollars2/
> | | | |
>
_____________|______________|______________|______________|___________
___
> | | | |
> 2001: | | | |
> Nov. | $14.51 | $8.09 | $494.79 |
$275.96
> Dec. | 14.55 | 8.14 | 496.16 |
277.49
> 2002: | | | |
> Jan. | 14.58 | 8.14 | 497.18 |
277.44
> Feb. | 14.61 | 8.13 | 499.66 |
278.21
> Mar. | 14.64 | 8.12 | 500.69 |
277.85
> Apr. | 14.66 | 8.09 | 501.37 |
276.69
> May | 14.69 | 8.11 | 502.40 |
277.42
> June | 14.74 | 8.13 | 505.58 |
278.86
> July | 14.76 | 8.13 | 501.84 |
276.34
> Aug. | 14.83 | 8.14 | 505.70 |
277.70
> Sept. | 14.85 | 8.14 | 507.87 |
278.28
> Oct. p | 14.89 | 8.14 | 509.24 |
278.43
> Nov. p | 14.93 | 8.15 | 510.61 |
278.87
>
_____________|______________|______________|______________|___________
___
>
> 1/ See footnote 2, table 1.
> 2/ The deflator for the constant-dollar series presented in this
release
> is the Consumer Price Index for Urban Wage Earners and Clerical
Workers
> (CPI-W).
> p = preliminary.
> Explanatory Note
>
>
>
>
>
>
> The earnings series presented in this release
> are derived from the Bureau of Labor Statistics’
> Current Employment Statistics (CES) survey, a
> monthly establishment survey of employment, payroll,
> and hours. The deflator used for constant-dollar
> earnings series presented in this release is derived from
> the Consumer Price Index for Urban Wage Earners and
> Clerical Workers (CPI-W).
> For the purpose of the Real Earnings series,
> the CPI-W is converted from the base of 1982-84 that
> is used in the official, published series to a base of
> 1982. Thus, the constant dollar average hourly and
> weekly earnings series are in 1982 dollars. To avoid
> confusion for users, the CPI data presented in Table A
> are the official, published CPI-W series. These data
> may differ slightly from those used in the real earnings
> calculations.
> Seasonally adjusted data are used for
> estimates of percent change from the same month a
> year ago for current and constant average hourly and
> weekly earnings that are presented in Table B of this
> release. Special techniques are applied to the CES
> hours and earnings data in the seasonal adjustment
> process to mitigate the effect of certain calendar-
> related fluctuations. Thus, over-the-year changes of
> these hours and earnings are best measured using
> seasonally adjusted series. A discussion of the
> calendar-related fluctuations in the hours and earnings
> data and the special techniques to remove them is
> available in the June 1998 issue of Employment and
> Earnings or on the Internet
> (http://www.bls.gov/ces/).
> Earnings series from the monthly
> establishment series are estimated arithmetic averages
> (means) of the hourly and weekly earnings of all
> production or nonsupervisory jobs in the private
> nonfarm sector of the economy. Average hourly
> earnings estimates are derived by dividing the
> estimated industry payroll–for all production or
> nonsupervisory jobs–by the corresponding paid hours.
> Average weekly hours estimates are similarly derived
> by dividing estimated aggregate hours by the
> corresponding number of production or nonsupervisory
> jobs. Average weekly earnings estimates are derived
> by multiplying the average hourly earnings and the
> average weekly hours estimates. This is equivalent to
> dividing the estimated payroll by the number of
> production or nonsupervisory jobs. The weekly and
> hourly earnings estimates for aggregate industries,
> such as the major industry division and the total private
>
>
>
> sector averages printed in this release, are derived by
> summing the corresponding payroll, hours, and
> employment estimates of the component industries.
> As a result, each industry receives a “weight” in the
> published averages that corresponds to its current level
> of activity (employment or total hours). This further
> implies that fluctuations and varying trends in
> employment in high-wage versus low-wage industries
> as well as wage rate changes influence the earnings
> averages.
> There are several characteristics of the series
> presented in this release that limit their suitability for
> some types of economic analyses. (1) The denominator
> for the weekly earnings series is the number of private
> nonfarm production or nonsupervisory worker jobs.
> This number includes full-time and part-time jobs as
> well as the jobs held by multiple jobholders in the
> private nonfarm sector. These factors tend to result in
> weekly earnings averages significantly lower than the
> corresponding numbers for full-time jobs. (2) Annual
> earnings averages can differ significantly from the
> result obtained by multiplying average weekly
> earnings times 52 weeks. The difference may be due
> to factors such as turnovers and layoffs. (3) The series
> are the average earnings of all production or
> nonsupervisory jobs, not the earnings average of
> “typical” jobs or jobs held by “typical” workers.
> Specifically, there are no adjustments for occupational,
> age, or schooling variations or for household type or
> location. Many studies have established the
> significance of these factors and that their impact
> varies over time.
> Seasonally adjusted data (table 2) are
> preferred by some users for analyzing general earnings
> trends in the economy since they eliminate the effect of
> changes that normally occur at the same time and in
> about the same magnitude each year and, therefore,
> reveal the underlying trends and cyclical movements.
> Changes in average earnings may be due to seasonal
> changes in the proportion of workers in high-wage and
> low-wage industries or occupations or to seasonal
> changes in the amount of overtime work, and so on.
> For more information, see Thomas Gavett,
> “Measures of Change in Real Wages and Earnings,”
> Monthly Labor Review, February 1972.
> Information in this release will be made
> available to sensory impaired individuals upon request.
> Voice phone: 202-691-5200; TDD Message Referral
> Phone Number: 1-800-877-8339.
>
> ——————————————————————–
—–
> The Real Earnings (realer)
> news release mailing list is a service of the Bureau of Labor
> Statistics. To subscribe or unsubscribe to BLS news releases
> please visit http://www.bls.gov/bls/list.htm
> ——————————————————————–
—–

Sun Dec 15, 2002 3:24 pm

Posted in 2002-12 Diciembre with tags , , , , , , , , , , , , , , , , , , on January 25, 2009 by Farid Matuk

PBI Trimestral

 

Hola Javier:

Como sabes el Instituto no mide al presente el PBI trimestral. El
Instituto reporta la actividad económica mensual en base a la
información acopiada por las OSE (Oficinas Sectoriales Estadísticas)
y sus consiguientes actualizaciones. Pero hay que recordar que esta
información es prácticamente de carácter administrativo y no de
campo; además de proveer solamente del lado de la oferta.

De otro lado, el PBI anual es medido por el Instituto con
información de campo, para el 2000 por ejemplo, se tienen cerca de
30,000 EEA (Encuestas Económicas Anuales) de establecimientos; las
cuales unidas a la ENAHO (Encuesta Nacional de Hogares) del mismo
año con alrededor de 18,000 hogares permiten construir la tabla 2.10
del SCN/93(Sistema de Cuentas Nacionales) y de esta manera se tiene
la producción total medida por los tres métodos: oferta, demanda, e
ingreso.

Un abrazo, Farid

— In MacroPeru@yahoogroups.com, “jkapsol <jkapsol@y…>”
<jkapsol@y…> wrote:
> Bruno
>
> Esta revision que comentas ya se izo el mes pasado. En la
publicacion
> que reporta el Indice Lider ay una nota referente a los cambios en
> los datos istoricos son debido a que el INEI abia cambiado los
> valores pasados. En particular el crecimiento del 2 trimestre
pasaba
> de 5.2 a 6.1.
>
> Esto lo comente yo tambien en un mensaje pasado a lo que Farid me
> replico que los cambios fueron responsabilidad de las oficinas
> sectoriales.
>
> Javier
>
> — In MacroPeru@yahoogroups.com, “Bruno Seminario
> <lbseminario@y…>” <lbseminario@y…> wrote:
> > Les recomiendo que miren con atencion el ultimo boletin del iNEI
ya
> > que publica una serie revisada del indice de produccion mensual.
La
> > Nueva data muestra con claridad como la reactivacion se inicio
ya
> > hace unos seis meses ya que los meses de bajo crecimiento
ocurridos
> > en julio y Agosto han desaprecido. La tasa revisada para estos
> meses
> > sube a cinco puntos porcentuales. La nueva serie estadistica
parece
> > ser mas consistentes que la serie anterior. Con la nuevas tasas
de
> > crecimiento es casi seguro que el crecimiento del PBI sea cinco
> > puntos porcentuales este año. De modo que sugiero una revision
> hacia
> > arriba de las tasa de las proyecciones.

Fri Dec 13, 2002 9:59 pm

Posted in 2002-12 Diciembre with tags , , , on January 25, 2009 by Farid Matuk

PBI (varianza)

 

Quienes vean la página del Instituto podrán hallar la serie desde
1990, y al mayor nivel de desagregación posible del “PBI mensual”;
así como de las series que lo respaldan.

Un ejercicio interesante sería evaluar las varianzas de dichas
series y construir la pruebas de hipótesis correspondientes. Hasta
donde recuerdo, no he visto un trabajo semejante, pero el material
esta disponible.

Otra serie es una hoja de cálculo que muestra el proceso de
actualización del “PBI mensual”. En este caso se puede tambien hacer
un análisis de varianza transversal.

Farid Matuk

— In MacroPeru@yahoogroups.com, “Juan Carlos Odar Zagaceta”
<jodar@b…> wrote:
> Mario
>
> Si 1 día de 22 es 4.5%, y aún considerando que efectivamente no se
paralizan todas las actividades, podrías explicarnos porqué “este
efecto seria muy reducido (menos de 1% del PBI) y
> no alrededor de 3%”? En todo caso, si demuestras eso lo que está
pasando es una verdadera desaceleración y entonces las perspectivas
para el próximo año se deteriorarían.
>
> Saludos!
>
> Juan Carlos
>
> —–Mensaje original—–
> De: Mario Velásquez [mailto:a19980916@p…]
> Enviado el: 13/12/2002 08:48 AM
> Para: Juan Carlos Odar Zagaceta
> CC: MacroPeru@yahoogroups.com
> Asunto: RE: [MacroPeru] El PBI de Octubre
>
>
>
> !Saludos a todos!
>
> Considero que el dia que le falta a octubre del 2002 en relacion a
octubre del
> 2001 no es razon suficiente como para justificar que el PBI caiga
en 3 puntos
> porcentuales. En el 2001 tuvimos 22 dias habiles mientras que en el
2002
> tuvimos 21 dias habiles. En consecuencia considero que este dia
“perdido” no
> puede estar representando 3% del PBI. Creo por otro lado, que en
este caso no
> es aplicable el fenomeno denominado “semana santa” que tuvimos
hace unos meses
> y que nos altero significativamente el PBI debido a que solo se
trata de 1 dia.
> En el peor de los casos este efecto seria muy reducido (menos de 1%
del PBI) y
> no alrededor de 3%
>
> Sobre las razones de la caida, puede ser que nuestro “PBI
mensual” este
> empezando a mostrar sus falancias y limitaciones?!
>
> Saludos
>
> Mario Velásquez
> Economía- PUCP
>
>
> —— Mensaje original ——-
> De : jodar@b…
> Para : MacroPeru@yahoogroups.com
> Fecha : Fri, 13 Dec 2002 13:24:11 -0500
> Asunto : RE: [MacroPeru] El PBI de Octubre
> >Bruno, listeros
> >
> >El mes pasado el crecimiento de 7.3% nos sorprendió a todos
(excepto al MEF),
> incluso al BCR. Pero esta vez, como dice Gestión, “los analistas
económicos que
> habitualmente encuesta el Banco Central de Reserva acertaron” (y
el MEF no,
> aunque sí captó la desaceleración). Creo que tienes razón en lo de
la
> volatilidad, pero no creo que se deba solo a la pesca, ya que la
parte no
> primaria también se ha desacelerado. Me atrevo a decir que el menor
dinamismo
> de octubre es consecuencia directa de que haya habido un feriado
más (el 7 de
> octubre). Lo que a estas alturas del partido lamentablemente no
queda claro es
> el crecimiento de noviembre, ya que si bien el Indice del MEF
estima un fuerte
> crecimiento, el empleo en Lima (que se correlaciona bastante bien
con el PBI)
> se ha desacelerado significativamente.
> >
> >Saludos!
> >
> > Juan Carlos
> >
> >—–Mensaje original—–
> >De: Bruno Seminario <lbseminario@y…>
> >[mailto:lbseminario@y…]
> >Enviado el: 13/12/2002 12:42 PM
> >Para: MacroPeru@yahoogroups.com
> >Asunto: [MacroPeru] El PBI de Octubre
> >
> >
> >El INEI acaba de publicar la data de Octubre. El resultado
implica,
> >si es cierto, una desaceleracion importante el ritmo de la
> >expansion . La tasa de crecimiento se reduce en casi 3 puntos
> >porcentuales. Debo confesar que me ha tomada por sorpresa este
> >resultado. El indicador mensula de produccion esta maifestando
> >fluctuaciones de baja alta frecuencia que no posia antes: La
> >varianza mensula del indice parece haber incrementando . ¿Por que
se
> >produce este resultado? ¿Hay algo malo en los metodos de
> >eleaboracion del incice o estas fluctuaciones estan reflejando un
> >fenómeno real? Uno, por razones terorica, podria esperar que la
data
> >este mas correlacionada ya que las variables reales tienen un
fuerte
> >grado de inercia. Los resulados peruanos implican osiclaciones que
> >seria dificil encontar en otro pais. ¿Quien puede explicarme lo
que
> >paso en octubre? Un examen preliminar de los datos sugiere que el
> >sector primario es el responsable del resulatdo. ¿Tendremos en
> >noviembre nuevamente una tasa de 7 por ciento?
> >
> >Bruno
> >
> >
> >To unsubscribe from this group, send an email to:
> >MacroPeru-unsubscribe@egroups.com
> >
> >
> >
> >Your use of Yahoo! Groups is subject to
http://docs.yahoo.com/info/terms/
> >
> >
> >To unsubscribe from this group, send an email to:
> >MacroPeru-unsubscribe@egroups.com
> >
> >
> >
> >Your use of Yahoo! Groups is subject to
http://docs.yahoo.com/info/terms/
> >
> >